Most Influential CIKM Papers

March 8, 2021May 4, 2021 admin

The ACM Conference on Information and Knowledge Management (CIKM) is an annual computer science research conference dedicated to information management and knowledge management. Paper Digest Team analyze all papers published on CIKM in the past years, and presents the 15 most influential papers for each year. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To find the most influential papers from other conferences/journals, visit Best Paper Digest page. Note: the most influential papers may or may not include the papers that won the best paper awards. (Version: 2021-03)

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TABLE 1: Most Influential CIKM Papers

Year	Rank	Paper	Author(s)
2020	1	Karate Club: An API Oriented Open-Source Python Framework For Unsupervised Learning On Graphs IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present Karate Club – a Python framework combining more than 30 state-of-the-art graph mining algorithms.	Benedek Rozemberczki; Oliver Kiss; Rik Sarkar;
2020	2	Whole-Chain Recommendations IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we study the recommendation problem with multiple (consecutive) scenarios, i.e., whole-chain recommendations.	XIANGYU ZHAO et. al.
2020	3	SenticNet 6: Ensemble Application Of Symbolic And Subsymbolic AI For Sentiment Analysis IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we integrate top-down and bottom-up learning via an ensemble of symbolic and subsymbolic AI tools, which we apply to the interesting problem of polarity detection from text.	Erik Cambria; Yang Li; Frank Z. Xing; Soujanya Poria; Kenneth Kwok;
2020	4	ReCOVery: A Multimodal Repository For COVID-19 News Credibility Research IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we present ReCOVery, a repository designed and constructed to facilitate research on combating such information regarding COVID-19.	Xinyi Zhou; Apurva Mulay; Emilio Ferrara; Reza Zafarani;
2020	5	Speaker-Aware BERT For Multi-Turn Response Selection In Retrieval-Based Chatbots IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we study the problem of employing pre-trained language models for multi-turn response selection in retrieval-based chatbots.	JIA-CHEN GU et. al.
2020	6	Characteristic Functions On Graphs: Birds Of A Feather, From Statistical Descriptors To Parametric Models IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a flexible notion of characteristic functions defined on graph vertices to describe the distribution of vertex features at multiple scales.	Benedek Rozemberczki; Rik Sarkar;
2020	7	S3-Rec: Self-Supervised Learning For Sequential Recommendation With Mutual Information Maximization IF:2 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To tackle this problem, we propose the model S3-Rec, which stands for Self-Supervised learning for Sequential Recommendation, based on the self-attentive neural architecture.	KUN ZHOU et. al.
2020	8	Detection Of Novel Social Bots By Ensembles Of Specialized Classifiers IF:2 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address these issues, we propose a new supervised learning method that trains classifiers specialized for each class of bots and combines their decisions through the maximum rule.	Mohsen Sayyadiharikandeh; Onur Varol; Kai-Cheng Yang; Alessandro Flammini; Filippo Menczer;
2020	9	Towards Generalizable Deepfake Detection With Locality-aware AutoEncoder IF:2 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Motivated by the fine-grained nature and spatial locality characteristics of deepfakes, we propose Locality-Aware AutoEncoder (LAE) to bridge the generalization gap.	Mengnan Du; Shiva Pentyala; Yuening Li; Xia Hu;
2020	10	TweetsCOV19 – A Knowledge Base Of Semantically Annotated Tweets About The COVID-19 Pandemic IF:2 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we describe TweetsCOV19, a publicly available knowledge base of currently more than 8 million tweets, spanning October 2019 – April 2020.	DIMITAR DIMITROV et. al.
2020	11	PrivacyFL: A Simulator For Privacy-Preserving And Secure Federated Learning IF:2 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we introduce PrivacyFL, which is an extensible, easily configurable, and scalable simulator for federated learning environments.	Vaikkunth Mugunthan; Anton Peraire-Bueno; Lalana Kagal;
2020	12	ORCAS: 20 Million Clicked Query-Document Pairs For Analyzing Search IF:2 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes a click data release related to the TREC Deep Learning Track document corpus.	Nick Craswell; Daniel Campos; Bhaskar Mitra; Emine Yilmaz; Bodo Billerbeck;
2020	13	Deep Multi-Interest Network For Click-through Rate Prediction IF:2 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel method named as Deep Multi-Interest Network (DMIN) which models user’s latent multiple interests for click-through rate prediction task.	ZHIBO XIAO et. al.
2020	14	Evaluating Stochastic Rankings With Expected Exposure IF:2 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce the concept of expected exposure as the average attention ranked items receive from users over repeated samples of the same query.	Fernando Diaz; Bhaskar Mitra; Michael D. Ekstrand; Asia J. Biega; Ben Carterette;
2020	15	FANG: Leveraging Social Context For Fake News Detection Using Graph Representation IF:2 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose Factual News Graph (FANG), a novel graphical social context representation and learning framework for fake news detection.	Van-Hoang Nguyen; Kazunari Sugiyama; Preslav Nakov; Min-Yen Kan;
2019	1	BERT4Rec: Sequential Recommendation With Bidirectional Encoder Representations From Transformer IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: \end enumerate* To address these limitations, we proposed a sequential recommendation model called BERT4Rec, which employs the deep bidirectional self-attention to model user behavior sequences.	FEI SUN et. al.
2019	2	AutoInt: Automatic Feature Interaction Learning Via Self-Attentive Neural Networks IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose an effective and efficient method called the AutoInt to automatically learn the high-order feature interactions of input features.	WEIPING SONG et. al.
2019	3	Enriching Pre-trained Language Model With Entity Information For Relation Classification IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a model that both leverages the pre-trained BERT language model and incorporates information from the target entities to tackle the relation classification task.	Shanchan Wu; Yifan He;
2019	4	CoLight: Learning Network-level Cooperation For Traffic Signal Control IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To enable cooperation of traffic signals, in this paper, we propose a model, CoLight, which uses graph attentional networks to facilitate communication.	HUA WEI et. al.
2019	5	Learning More With Less: Conditional PGGAN-based Data Augmentation For Brain Metastases Detection Using Highly-Rough Annotation On MR Images IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Therefore, this paper proposes Conditional Progressive Growing of GANs (CPGGANs), incorporating highly-rough bounding box conditions incrementally into PGGANs to place brain metastases at desired positions/sizes on 256 � 256 Magnetic Resonance (MR) images, for Convolutional Neural Network-based tumor detection; this first GAN-based medical DA using automatic bounding box annotation improves the training robustness.	CHANGHEE HAN et. al.
2019	6	A Hybrid Retrieval-Generation Neural Conversation Model IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a hybrid neural conversation model that combines the merits of both response retrieval and generation methods.	LIU YANG et. al.
2019	7	How Does BERT Answer Questions?: A Layer-Wise Analysis Of Transformer Representations IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In order to better understand BERT and other Transformer-based models, we present a layer-wise analysis of BERT’s hidden states.	Betty van Aken; Benjamin Winter; Alexander L�ser; Felix A. Gers;
2019	8	A Compare-Aggregate Model With Latent Clustering For Answer Selection IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel method for a sentence-level answer-selection task that is a fundamental problem in natural language processing.	Seunghyun Yoon; Franck Dernoncourt; Doo Soon Kim; Trung Bui; Kyomin Jung;
2019	9	Interactive Matching Network For Multi-Turn Response Selection In Retrieval-Based Chatbots IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose an interactive matching network (IMN) for the multi-turn response selection task.	Jia-Chen Gu; Zhen-Hua Ling; Quan Liu;
2019	10	Fi-GNN: Modeling Feature Interactions Via Graph Neural Networks For CTR Prediction IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose to represent the multi-field features in a graph structure intuitively, where each node corresponds to a feature field and different fields can interact through edges.	Zekun Li; Zeyu Cui; Shu Wu; Xiaoyu Zhang; Liang Wang;
2019	11	Spam Review Detection With Graph Convolutional Networks IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present our technical solutions to address these challenges.	Ao Li; Zhou Qin; Runshi Liu; Yiqun Yang; Dong Li;
2019	12	Attentive History Selection For Conversational Question Answering IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a novel solution for ConvQA that involves three aspects.	CHEN QU et. al.
2019	13	Learning Phase Competition For Traffic Signal Control IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel design called FRAP, which is based on the intuitive principle of phase competition in traffic signal control: when two traffic signals conflict, priority should be given to one with larger traffic movement (i.e., higher demand).	GUANJIE ZHENG et. al.
2019	14	SDM: Sequential Deep Matching Model For Online Large-scale Recommender System IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a new sequential deep matching (SDM) model to capture users’ dynamic preferences by combining short-term sessions and long-term behaviors.	FUYU LV et. al.
2019	15	Multi-Interest Network With Dynamic Routing For Recommendation At Tmall IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we approach the learning of user representations from a different view, by representing a user with multiple representation vectors encoding the different aspects of the user’s interests.	CHAO LI et. al.
2018	1	Recurrent Neural Networks With Top-k Gains For Session-based Recommendations IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work we introduce novel ranking loss functions tailored to RNNs in the recommendation setting.	Bal�zs Hidasi; Alexandros Karatzoglou;
2018	2	RippleNet: Propagating User Preferences On The Knowledge Graph For Recommender Systems IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address the limitations of existing embedding-based and path-based methods for knowledge-graph-aware recommendation, we propose RippleNet, an end-to-end framework that naturally incorporates the knowledge graph into recommender systems.	HONGWEI WANG et. al.
2018	3	Towards Conversational Search And Recommendation: System Ask, User Respond IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose and evaluate a unified conversational search/recommendation framework, in an attempt to make the research problem doable under a standard formalization.	Yongfeng Zhang; Xu Chen; Qingyao Ai; Liu Yang; W. Bruce Croft;
2018	4	REGAL: Representation Learning-based Graph Alignment IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Motivated by recent advancements in node representation learning for single-graph tasks, we propose REGAL (REpresentation learning-based Graph ALignment), a framework that leverages the power of automatically-learned node representations to match nodes across different graphs.	Mark Heimann; Haoming Shen; Tara Safavi; Danai Koutra;
2018	5	From Neural Re-Ranking To Neural Ranking: Learning A Sparse Representation For Inverted Indexing IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a standalone neural ranking model (SNRM) by introducing a sparsity property to learn a latent sparse representation for each query and document.	Hamed Zamani; Mostafa Dehghani; W. Bruce Croft; Erik Learned-Miller; Jaap Kamps;
2018	6	CoNet: Collaborative Cross Networks For Cross-Domain Recommendation IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel transfer learning approach for cross-domain recommendation by using neural networks as the base model.	Guangneng Hu; Yu Zhang; Qiang Yang;
2018	7	Real-Time Bidding With Multi-Agent Reinforcement Learning In Display Advertising IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we formulate bidding optimization with multi-agent reinforcement learning.	JUNQI JIN et. al.
2018	8	Rumor Detection With Hierarchical Social Attention Network IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we detect rumors by leveraging hierarchical representations at different levels and the social contexts.	Han Guo; Juan Cao; Yazi Zhang; Junbo Guo; Jintao Li;
2018	9	KAME: Knowledge-based Attention Model For Diagnosis Prediction In Healthcare IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address these issues, we propose KAME, an end-to-end, accurate and robust model for predicting patients’ future health information.	FENGLONG MA et. al.
2018	10	Weakly-Supervised Neural Text Classification IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a weakly-supervised method that addresses the lack of training data in neural text classification.	Yu Meng; Jiaming Shen; Chao Zhang; Jiawei Han;
2018	11	Heterogeneous Graph Neural Networks For Malicious Account Detection IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present, GEM, the first heterogeneous graph neural network approach for detecting malicious accounts at Alipay, one of the world’s leading mobile cashless payment platform.	ZIQI LIU et. al.
2018	12	Deep Autoencoder-like Nonnegative Matrix Factorization For Community Detection IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Inspired by the unique feature representation learning capability of deep autoencoder, we propose a novel model, named Deep Autoencoder-like NMF (DANMF), for community detection.	Fanghua Ye; Chuan Chen; Zibin Zheng;
2018	13	CFGAN: A Generic Collaborative Filtering Framework Based On Generative Adversarial Networks IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel GAN-based collaborative filtering (CF) framework to provide higher accuracy in recommendation.	Dong-Kyu Chae; Jin-Soo Kang; Sang-Wook Kim; Jung-Tae Lee;
2018	14	Semi-supervised Learning On Graphs With Generative Adversarial Nets IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We investigate how generative adversarial nets (GANs) can help semi-supervised learning on graphs.	Ming Ding; Jie Tang; Jie Zhang;
2018	15	Fairness-Aware Tensor-Based Recommendation IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Hence, we propose a novel fairness-aware tensor recommendation framework that is designed to maintain quality while dramatically improving fairness.	Ziwei Zhu; Xia Hu; James Caverlee;
2017	1	CSI: A Hybrid Deep Model For Fake News Detection IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a model that combines all three characteristics for a more accurate and automated prediction.	Natali Ruchansky; Sungyong Seo; Yan Liu;
2017	2	Neural Attentive Session-based Recommendation IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel neural networks framework, i.e., Neural Attentive Recommendation Machine (NARM), to tackle this problem.	JING LI et. al.
2017	3	HIN2Vec: Explore Meta-paths In Heterogeneous Information Networks For Representation Learning IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel representation learning framework, namely HIN2Vec, for heterogeneous information networks (HINs).	Tao-yang Fu; Wang-Chien Lee; Zhen Lei;
2017	4	Attributed Network Embedding For Learning In A Dynamic Environment IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we tackle this problem by proposing a novel dynamic attributed network embedding framework – DANE.	JUNDONG LI et. al.
2017	5	Learning Community Embedding With Community Detection And Node Embedding On Graphs IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we study an important yet largely under-explored setting of graph embedding, i.e., embedding communities instead of each individual nodes.	Sandro Cavallari; Vincent W. Zheng; Hongyun Cai; Kevin Chen-Chuan Chang; Erik Cambria;
2017	6	Joint Representation Learning For Top-N Recommendation With Heterogeneous Information Sources IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a Joint Representation Learning (JRL) framework for top-N recommendation.	Yongfeng Zhang; Qingyao Ai; Xu Chen; W. Bruce Croft;
2017	7	*FAIR: A Fair Top-k Ranking Algorithm IF:4** Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we define and solve the Fair Top-k Ranking problem, in which we want to determine a subset of k candidates from a large pool of n » k candidates, maximizing utility (i.e., select the "best" candidates) subject to group fairness criteria.	MEIKE ZEHLIKE et. al.
2017	8	DeepRank: A New Deep Architecture For Relevance Ranking In Information Retrieval IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we propose a new deep learning architecture, namely DeepRank, to simulate the above human judgment process.	LIANG PANG et. al.
2017	9	An Attention-based Collaboration Framework For Multi-View Network Representation Learning IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a multi-view representation learning approach, which promotes the collaboration of different views and lets them vote for the robust representations.	MENG QU et. al.
2017	10	Fast And Accurate Time Series Classification With WEASEL IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present WEASEL (Word ExtrAction for time SEries cLassification), a novel TSC method which is both fast and accurate.	Patrick Schäfer; Ulf Leser;
2017	11	MGAE: Marginalized Graph Autoencoder For Graph Clustering IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel marginalized graph autoencoder (MGAE) algorithm for graph clustering.	Chun Wang; Shirui Pan; Guodong Long; Xingquan Zhu; Jing Jiang;
2017	12	Aspect-level Sentiment Classification With HEAT (HiErarchical ATtention) Network IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To solve this problem, we propose a HiErarchical ATtention (HEAT) network for aspect-level sentiment classification.	JIAJUN CHENG et. al.
2017	13	Name Disambiguation In Anonymized Graphs Using Network Embedding IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a novel name disambiguation method.	Baichuan Zhang; Mohammad Al Hasan;
2017	14	DeepHawkes: Bridging The Gap Between Prediction And Understanding Of Information Cascades IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose DeepHawkes to combat the defects of existing methods, leveraging end-to-end deep learning to make an analogy to interpretable factors of Hawkes process — a widely-used generative process to model information cascade.	Qi Cao; Huawei Shen; Keting Cen; Wentao Ouyang; Xueqi Cheng;
2017	15	SERM: A Recurrent Model For Next Location Prediction In Semantic Trajectories IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a method named semantics-enriched recurrent model (SERM).	Di Yao; Chao Zhang; Jianhui Huang; Jingping Bi;
2016	1	A Deep Relevance Matching Model For Ad-hoc Retrieval IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel deep relevance matching model (DRMM) for ad-hoc retrieval.	Jiafeng Guo; Yixing Fan; Qingyao Ai; W. Bruce Croft;
2016	2	Learning Graph-based POI Embedding For Location-based Recommendation IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address these challenges, we stand on recent advances in embedding learning techniques and propose a generic graph-based embedding model, called GE, in this paper.	MIN XIE et. al.
2016	3	ANMM: Ranking Short Answer Texts With Attention-Based Neural Matching Model IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose an attention based neural matching model for ranking short answer text.	Liu Yang; Qingyao Ai; Jiafeng Guo; W. Bruce Croft;
2016	4	Query Expansion Using Word Embeddings IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a suite of query expansion methods that are based on word embeddings.	Saar Kuzi; Anna Shtok; Oren Kurland;
2016	5	Noise-Contrastive Estimation For Answer Selection With Deep Neural Networks IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Unlike previous work which treats this task as a straightforward pointwise classification problem, we model this problem as a ranking task and propose a pairwise ranking approach that can directly exploit existing pointwise neural network models as base components.	Jinfeng Rao; Hua He; Jimmy Lin;
2016	6	Credibility Assessment Of Textual Claims On The Web IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: For inference, our method leverages the joint interaction between the language of articles about the claim and the reliability of the underlying web sources.	Kashyap Popat; Subhabrata Mukherjee; Jannik Strötgen; Gerhard Weikum;
2016	7	Social Recommendation With Strong And Weak Ties IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we study the effects of distinguishing strong and weak ties in social recommendation.	Xin Wang; Wei Lu; Martin Ester; Can Wang; Chun Chen;
2016	8	Feature Driven And Point Process Approaches For Popularity Prediction IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: From these observations, we argue that future work on popularity prediction should compare across feature-driven and generative modeling approaches in both classification and regression tasks.	Swapnil Mishra; Marian-Andrei Rizoiu; Lexing Xie;
2016	9	Learning Latent Vector Spaces For Product Search IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce a novel latent vector space model that jointly learns the latent representations of words, e-commerce products and a mapping between the two without the need for explicit annotations.	Christophe Van Gysel; Maarten de Rijke; Evangelos Kanoulas;
2016	10	Linked Document Embedding For Classification IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we study the problem of linked document embedding for classification and propose a linked document embedding framework LDE, which combines link and label information with content information to learn document representations for classification. Linked documents present new challenges to traditional document embedding algorithms.	Suhang Wang; Jiliang Tang; Charu Aggarwal; Huan Liu;
2016	11	LambdaFM: Learning Optimal Ranking With Factorization Machines Using Lambda Surrogates IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we demonstrate, both theoretically and empirically, PRFM models usually lead to non-optimal item recommendation results due to such a mismatch.	FAJIE YUAN et. al.
2016	12	Retweet Prediction With Attention-based Deep Neural Network IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we proposed a novel attention-based deep neural network to incorporate contextual and social information for this task. To train and evaluate the proposed methods, we also constructed a large dataset collected from Twitter.	Qi Zhang; Yeyun Gong; Jindou Wu; Haoran Huang; Xuanjing Huang;
2016	13	Semantic Matching By Non-Linear Word Transportation For Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Based on this representation, we introduce a novel retrieval model by viewing the matching between queries and documents as a non-linear word transportation (NWT) problem.	Jiafeng Guo; Yixing Fan; Qingyao Ai; W. Bruce Croft;
2016	14	LogMine: Fast Pattern Recognition For Log Analytics IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a method, named LogMine, that extracts high quality patterns for a given set of log messages.	HOSSEIN HAMOONI et. al.
2016	15	Leveraging The Implicit Structure Within Social Media For Emergent Rumor Detection IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a method for classifying conversations within their formative stages as well as improving accuracy within mature conversations through the discovery of implicit linkages between conversation fragments.	Justin Sampson; Fred Morstatter; Liang Wu; Huan Liu;
2015	1	GraRep: Learning Graph Representations With Global Structural Information IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present {GraRep}, a novel model for learning vertex representations of weighted graphs.	Shaosheng Cao; Wei Lu; Qiongkai Xu;
2015	2	A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a novel hierarchical recurrent encoder-decoder architecture that makes possible to account for sequences of previous queries of arbitrary lengths.	ALESSANDRO SORDONI et. al.
2015	3	Short Text Similarity With Word Embeddings IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose to go from word-level to text-level semantics by combining insights from methods based on external sources of semantic knowledge with word embeddings.	Tom Kenter; Maarten de Rijke;
2015	4	Deep Collaborative Filtering Via Marginalized Denoising Auto-encoder IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In particular, we propose a general deep architecture for CF by integrating matrix factorization with deep feature learning.	Sheng Li; Jaya Kawale; Yun Fu;
2015	5	Detect Rumors Using Time Series Of Social Context Information On Microblogging Websites IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this study, we propose a novel approach to capture the temporal characteristics of these features based on the time series of rumor’s lifecycle, for which time series modeling technique is applied to incorporate various social context information.	Jing Ma; Wei Gao; Zhongyu Wei; Yueming Lu; Kam-Fai Wong;
2015	6	TriRank: Review-aware Explainable Recommendation By Modeling Aspects IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Aside from users’ ratings, their affiliated reviews often provide the rationale for their ratings and identify what aspects of the item they cared most about.	Xiangnan He; Tao Chen; Min-Yen Kan; Xiao Chen;
2015	7	Learning To Represent Knowledge Graphs With Gaussian Embedding IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Therefore, this paper switches to density-based embedding and propose KG2E for explicitly modeling the certainty of entities and relations, which learn the representations of KGs in the space of multi-dimensional Gaussian distributions.	Shizhu He; Kang Liu; Guoliang Ji; Jun Zhao;
2015	8	Real-time Rumor Debunking On Twitter IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose the first real time rumor debunking algorithm for Twitter.	Xiaomo Liu; Armineh Nourbakhsh; Quanzhi Li; Rui Fang; Sameena Shah;
2015	9	More Accurate Question Answering On Freebase IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We evaluate our system, called Aqqu, on two standard benchmarks, Free917 and WebQuestions, improving the previous best result for each benchmark considerably.	Hannah Bast; Elmar Haussmann;
2015	10	Semantic Path Based Personalized Recommendation On Weighted Heterogeneous Information Networks IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we are the first to propose the weighted HIN and weighted meta path concepts to subtly depict the path semantics through distinguishing different link attribute values.	CHUAN SHI et. al.
2015	11	Detecting Check-worthy Factual Claims In Presidential Debates IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Specifically, we prepared a U.S. presidential debate dataset and built classification models to distinguish check-worthy factual claims from non-factual claims and unimportant factual claims.	Naeemul Hassan; Chengkai Li; Mark Tremayne;
2015	12	Extracting Situational Information From Microblogs During Disaster Events: A Classification-Summarization Approach IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The proposed framework takes into consideration the typicalities pertaining to disaster events where (i) the same tweet often contains a mixture of situational and non-situational information, and (ii) certain numerical information, such as number of casualties, vary rapidly with time, and thus achieves superior performance compared to state-of-the-art tweet summarization approaches.	Koustav Rudra; Subham Ghosh; Niloy Ganguly; Pawan Goyal; Saptarshi Ghosh;
2015	13	Joint Modeling Of User Check-in Behaviors For Point-of-Interest Recommendation IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In light of the above, we propose a joint probabilistic generative model to mimic user check-in behaviors in a process of decision making, which strategically integrates the above factors to effectively overcome the data sparsity, especially for out-of-town users.	Hongzhi Yin; Xiaofang Zhou; Yingxia Shao; Hao Wang; Shazia Sadiq;
2015	14	EsdRank: Connecting Query And Documents Through External Semi-Structured Data IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents EsdRank, a new technique for improving ranking using external semi-structured data such as controlled vocabularies and knowledge bases.	Chenyan Xiong; Jamie Callan;
2015	15	Leveraging Joint Interactions For Credibility Analysis In News Communities IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: News communities such as digg, reddit, or newstrust offer recommendations, reviews, quality ratings, and further insights on journalistic works.	Subhabrata Mukherjee; Gerhard Weikum;
2014	1	A Latent Semantic Model With Convolutional-Pooling Structure For Information Retrieval IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a new latent semantic model that incorporates a convolutional-pooling structure over word sequences to learn low-dimensional, semantic vector representations for search queries and Web documents.	Yelong Shen; Xiaodong He; Jianfeng Gao; Li Deng; Grégoire Mesnil;
2014	2	Leveraging Social Connections To Improve Personalized Ranking For Collaborative Filtering IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Using social connections to better estimate users’ rankings of products is the task we consider in this paper.	Tong Zhao; Julian McAuley; Irwin King;
2014	3	Graph-based Point-of-interest Recommendation With Geographical And Temporal Influences IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we focus on the problem of time-aware POI recommendation, which aims at recommending a list of POIs for a user to visit at a given time.	Quan Yuan; Gao Cong; Aixin Sun;
2014	4	Sketch-based Influence Maximization And Computation: Scaling Up With Guarantees IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Basic computational problems in the study of diffusion are influence queries (determining the potency of a specified seed set of nodes) and Influence Maximization (identifying the most influential seed set of a given size).	Edith Cohen; Daniel Delling; Thomas Pajor; Renato F. Werneck;
2014	5	Exploiting Geographical Neighborhood Characteristics For Location Recommendation IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we are interested in exploiting geographical characteristics from a location perspective, by modeling the geographical neighborhood of a location.	Yong Liu; Wei Wei; Aixin Sun; Chunyan Miao;
2014	6	RC-NET: A General Framework For Incorporating Knowledge Into Word Representations IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Hence, in this paper, we introduce a novel framework called RC-NET to leverage both the relational and categorical knowledge to produce word representations of higher quality.	CHANG XU et. al.
2014	7	Medical Semantic Similarity With A Neural Language Model IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we explore a variation of neural language models that can learn on concepts taken from structured ontologies and extracted from free-text, rather than directly from terms in free-text.	Lance De Vine; Guido Zuccon; Bevan Koopman; Laurianne Sitbon; Peter Bruza;
2014	8	Question Retrieval With High Quality Answers In Community Question Answering IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address these problems, we propose a supervised question-answer topic modeling approach.	Kai Zhang; Wei Wu; Haocheng Wu; Zhoujun Li; Ming Zhou;
2014	9	Canonicalizing Open Knowledge Bases IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present an approach based on machine learning methods that can canonicalize such Open IE triples, by clustering synonymous names and phrases.	Luis Galárraga; Geremy Heitz; Kevin Murphy; Fabian M. Suchanek;
2014	10	Concept-based Short Text Classification And Ranking IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose using “Bag-of-Concepts” in short text representation, aiming to avoid the surface mismatching and handle the synonym and polysemy problem.	Fang Wang; Zhongyuan Wang; Zhoujun Li; Ji-Rong Wen;
2014	11	Twitter Opinion Topic Model: Extracting Product Opinions From Tweets By Leveraging Hashtags And Sentiment Lexicon IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose an LDA-based opinion model named Twitter Opinion Topic Model (TOTM) for opinion mining and sentiment analysis.	Kar Wai Lim; Wray Buntine;
2014	12	Meta-Path-Based Ranking With Pseudo Relevance Feedback On Heterogeneous Graph For Citation Recommendation IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: By using learning-to-rank, we integrate 18 different meta-path-based ranking features to derive the final ranking scores for candidate cited papers.	Xiaozhong Liu; Yingying Yu; Chun Guo; Yizhou Sun;
2014	13	Robust Entity Linking Via Random Walks IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we present a novel approach that is guided by a natural notion of semantic similarity which is less amenable to such bias.	Zhaochen Guo; Denilson Barbosa;
2014	14	Supporting Complex Search Tasks IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present methods to automatically identify and recommend sub-tasks to help people explore and accomplish complex search tasks.	Ahmed Hassan Awadallah; Ryen W. White; Patrick Pantel; Susan T. Dumais; Yi-Min Wang;
2014	15	Influence Maximization Over Large-Scale Social Networks: A Bounded Linear Approach IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To this end, in this paper, we provide a bounded linear approach for influence computation and influence maximization.	QI LIU et. al.
2013	1	Learning Deep Structured Semantic Models For Web Search Using Clickthrough Data IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this study we strive to develop a series of new latent semantic models with a deep structure that project queries and documents into a common low-dimensional space where the relevance of a document given a query is readily computed as the distance between them.	PO-SEN HUANG et. al.
2013	2	Inferring Anchor Links Across Multiple Heterogeneous Social Networks IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we study the problem of anchor link prediction across multiple heterogeneous social networks, i.e., discovering the correspondence among different accounts of the same user.	Xiangnan Kong; Jiawei Zhang; Philip S. Yu;
2013	3	Personalized Point-of-interest Recommendation By Mining Users’ Preference Transition IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a novel category-aware POI recommendation model, which exploits the transition patterns of users’ preference over location categories to improve location recommendation accuracy.	Xin Liu; Yong Liu; Karl Aberer; Chunyan Miao;
2013	4	CQArank: Jointly Model Topics And Expertise In Community Question Answering IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To tackle this cluster of closely related problems in a principled approach, we proposed Topic Expertise Model (TEM), a novel probabilistic generative model with GMM hybrid, to jointly model topics and expertise by integrating textual content model and link structure analysis.	LIU YANG et. al.
2013	5	Overlapping Community Detection Using Seed Set Expansion IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose an efficient overlapping community detection algorithm using a seed set expansion approach.	Joyce Jiyoung Whang; David F. Gleich; Inderjit S. Dhillon;
2013	6	Building A Large-scale Corpus For Evaluating Event Detection On Twitter IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a methodology for the creation of an event detection corpus. Specifically, we first create a new corpus that covers a period of 4 weeks and contains over 120 million tweets, which we make available for research.	Andrew J. McMinn; Yashar Moshfeghi; Joemon M. Jose;
2013	7	Location Prediction In Social Media Based On Tie Strength IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a novel network-based approach for location estimation in social media that integrates evidence of the social tie strength between users for improved location estimation.	Jeffrey McGee; James Caverlee; Zhiyuan Cheng;
2013	8	Graph-of-word And TW-IDF: New Approach To Ad Hoc IR IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we introduce novel document representation (graph-of-word) and retrieval model (TW-IDF) for ad hoc IR.	François Rousseau; Michalis Vazirgiannis;
2013	9	StaticGreedy: Solving The Scalability-accuracy Dilemma In Influence Maximization IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Motivated by this critical finding, we propose a static greedy algorithm, named StaticGreedy, to strictly guarantee the submodularity of influence spread function during the seed selection process.	Suqi Cheng; Huawei Shen; Junming Huang; Guoqing Zhang; Xueqi Cheng;
2013	10	Robust Question Answering Over The Web Of Linked Data IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper advocates a new approach that allows questions to be partially translated into relaxed queries, covering the essential but not necessarily all aspects of the user’s input.	Mohamed Yahya; Klaus Berberich; Shady Elbassuoni; Gerhard Weikum;
2013	11	Location Recommendation For Out-of-town Users In Location-based Social Networks IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we study the issues in making location recommendations for out-of-town users by taking into account user preference, social influence and geographical proximity.	Gregory Ference; Mao Ye; Wang-Chien Lee;
2013	12	On Popularity Prediction Of Videos Shared In Online Social Networks IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present an initial study on the popularity prediction of videos propagated in OSNs along friendship links.	Haitao Li; Xiaoqiang Ma; Feng Wang; Jiangchuan Liu; Ke Xu;
2013	13	Re-ranking For Joint Named-entity Recognition And Linking IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a joint model for NER and EL, called NEREL, that takes a large set of candidate mentions from typical NER systems and a large set of candidate entity links from EL systems, and ranks the candidate mention-entity pairs together to make joint predictions.	Avirup Sil; Alexander Yates;
2013	14	PATRIC: A Parallel Algorithm For Counting Triangles In Massive Networks IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present an efficient MPI-based distributed memory parallel algorithm, called PATRIC, for counting triangles in massive networks.	Shaikh Arifuzzaman; Maleq Khan; Madhav Marathe;
2013	15	Beyond Clicks: Query Reformulation As A Predictor Of Search Satisfaction IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Using a large unlabeled dataset, a labeled dataset of queries and a labeled dataset of user tasks, we analyze the relationship between these signals.	Ahmed Hassan; Xiaolin Shi; Nick Craswell; Bill Ramsey;
2012	1	Mining High Utility Itemsets Without Candidate Generation IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose an algorithm, called HUI-Miner (High Utility Itemset Miner), for high utility itemset mining.	Mengchi Liu; Junfeng Qu;
2012	2	Twevent: Segment-based Event Detection From Tweets IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a segment-based event detection system for tweets, called Twevent.	Chenliang Li; Aixin Sun; Anwitaman Datta;
2012	3	Social Contextual Recommendation IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we investigate social recommendation on the basis of psychology and sociology studies, which exhibit two important factors: individual preference and interpersonal influence.	MENG JIANG et. al.
2012	4	GSCorr: Modeling Geo-social Correlations For New Check-ins On Location-based Social Networks IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose to utilize the social network information for solving the "cold start" location prediction problem, with a geo-social correlation model to capture social correlations on LBSNs considering social networks and geographical distance.	Huiji Gao; Jiliang Tang; Huan Liu;
2012	5	KORE: Keyphrase Overlap Relatedness For Entity Disambiguation IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: For efficiency, we have developed approximation techniques based on min-hash sketches and locality-sensitive hashing.	Johannes Hoffart; Stephan Seufert; Dat Ba Nguyen; Martin Theobald; Gerhard Weikum;
2012	6	Gelling, And Melting, Large Graphs By Edge Manipulation IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: So far, previous studies have mostly focused on removing or inoculating nodes to achieve the desired outcome.	Hanghang Tong; B. Aditya Prakash; Tina Eliassi-Rad; Michalis Faloutsos; Christos Faloutsos;
2012	7	Detecting Offensive Tweets Via Topical Feature Discovery Over A Large Scale Twitter Corpus IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel semi-supervised approach for detecting profanity-related offensive content in Twitter.	Guang Xiang; Bin Fan; Ling Wang; Jason Hong; Carolyn Rose;
2012	8	Deco: Declarative Crowdsourcing IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe Deco’s data model, query language, and our prototype.	Aditya Ganesh Parameswaran; Hyunjung Park; Hector Garcia-Molina; Neoklis Polyzotis; Jennifer Widom;
2012	9	Prediction Of Retweet Cascade Size Over Time IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we try to forecast how many retweets a given tweet will gain during a fixed time period.	ANDREY KUPAVSKII et. al.
2012	10	PARMA: A Parallel Randomized Algorithm For Approximate Association Rules Mining In MapReduce IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We address this issue by proposing PARMA, a parallel algorithm for the MapReduce framework, which scales well with the size of the dataset (as number of transactions) while minimizing data replication and communication cost.	Matteo Riondato; Justin A. DeBrabant; Rodrigo Fonseca; Eli Upfal;
2012	11	On The Design Of LDA Models For Aspect-based Opinion Mining IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a set of design guidelines for aspect-based opinion mining by discussing a series of increasingly sophisticated LDA models.	Samaneh Moghaddam; Martin Ester;
2012	12	Meta Path-based Collective Classification In Heterogeneous Information Networks IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we focus on studying the collective classification problem in heterogeneous networks, which involves multiple types of data objects interconnected by multiple types of links.	Xiangnan Kong; Philip S. Yu; Ying Ding; David J. Wild;
2012	13	Question-answer Topic Model For Question Retrieval In Community Question Answering IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper proposes a novel Question-Answer Topic Model (QATM) to learn the latent topics aligned across the question-answer pairs to alleviate the lexical gap problem, with the assumption that a question and its paired answer share the same topic distribution.	Zongcheng Ji; Fei Xu; Bin Wang; Ben He;
2012	14	Recommending Citations: Translating Papers Into References IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Using this, we propose a method that "translates" research papers into references.	WENYI HUANG et. al.
2012	15	Fast And Reliable Anomaly Detection In Categorical Data IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce COMPREX, a new approach for identifying anomalies using pattern-based compression.	Leman Akoglu; Hanghang Tong; Jilles Vreeken; Christos Faloutsos;
2011	1	Topic Sentiment Analysis In Twitter: A Graph-based Hashtag Sentiment Classification Approach IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, instead of presenting the sentiment polarity of each tweet relevant to the topic, we focus our study on hashtag-level sentiment classification.	Xiaolong Wang; Furu Wei; Xiaohua Liu; Ming Zhou; Ming Zhang;
2011	2	Robust Nonnegative Matrix Factorization Using L21-norm IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a robust formulation of NMF using L21 norm loss function.	Deguang Kong; Chris Ding; Heng Huang;
2011	3	Jasmine: A Real-time Local-event Detection System Based On Geolocation Information Propagated To Microblogs IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Therefore, we propose an automatic geotagging method that identifies the location of non-geotagged documents.	Kazufumi Watanabe; Masanao Ochi; Makoto Okabe; Rikio Onai;
2011	4	Transferring Topical Knowledge From Auxiliary Long Texts For Short Text Clustering IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this article, we present a novel approach to cluster short text messages via transfer learning from auxiliary long text data.	Ou Jin; Nathan N. Liu; Kai Zhao; Yong Yu; Qiang Yang;
2011	5	User Oriented Tweet Ranking: A Filtering Approach To Microblogs IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a personalized tweet ranking method, leveraging the use of retweet behavior, to bring more important tweets forward.	Ibrahim Uysal; W. Bruce Croft;
2011	6	Personalizing Web Search Results By Reading Level IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe models and algorithms to address the three key problems in improving relevance for search using reading difficulty: estimating user proficiency, estimating result difficulty, and re-ranking based on the difference between user and result reading level profiles.	Kevyn Collins-Thompson; Paul N. Bennett; Ryen W. White; Sebastian de la Chica; David Sontag;
2011	7	Who Will Follow You Back?: Reciprocal Relationship Prediction IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Employing Twitter as a source for our experimental data, we propose a learning framework to formulate the problem of reciprocal relationship prediction into a graphical model.	John Hopcroft; Tiancheng Lou; Jie Tang;
2011	8	Discovering Top-k Teams Of Experts With/without A Leader In Social Networks IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose two communication cost functions designed for two types of communication structures. We introduce the problem of finding a team of experts with a leader.	Mehdi Kargar; Aijun An;
2011	9	Sentiment Classification Based On Supervised Latent N-gram Analysis IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose an efficient embedding for modeling higher-order (n-gram) phrases that projects the n-grams to low-dimensional latent semantic space, where a classification function can be defined.	Dmitriy Bespalov; Bing Bai; Yanjun Qi; Ali Shokoufandeh;
2011	10	Exploiting Longer Cycles For Link Prediction In Signed Networks IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We consider the problem of link prediction in signed networks.	Kai-Yang Chiang; Nagarajan Natarajan; Ambuj Tewari; Inderjit S. Dhillon;
2011	11	Worker Types And Personality Traits In Crowdsourcing Relevance Labels IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we use behavioral observations (HIT completion time, fraction of useful labels, label accuracy) to define five worker types: Spammer, Sloppy, Incompetent, Competent, Diligent.	Gabriella Kazai; Jaap Kamps; Natasa Milic-Frayling;
2011	12	Emerging Topic Detection Using Dictionary Learning IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a two stage approach respectively based on detection and clustering of novel user-generated content.	Shiva Prasad Kasiviswanathan; Prem Melville; Arindam Banerjee; Vikas Sindhwani;
2011	13	Do All Birds Tweet The Same?: Characterizing Twitter Around The World IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we present a summary of a large-scale analysis of Twitter for an extended period of time.	Barbara Poblete; Ruth Garcia; Marcelo Mendoza; Alejandro Jaimes;
2011	14	Citation Count Prediction: Learning To Estimate Future Citations For Literature IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we use the citations as a measurement for the popularity among researchers and study the interesting problem of Citation Count Prediction (CCP) to examine the characteristics for popularity.	Rui Yan; Jie Tang; Xiaobing Liu; Dongdong Shan; Xiaoming Li;
2011	15	Polarity Analysis Of Texts Using Discourse Structure IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose Pathos, a framework which performs document sentiment analysis (partly) based on a document’s discourse structure.	BAS HEERSCHOP et. al.
2010	1	You Are Where You Tweet: A Content-based Approach To Geo-locating Twitter Users IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose and evaluate a probabilistic framework for estimating a Twitter user’s city-level location based purely on the content of the user’s tweets, even in the absence of any other geospatial cues.	Zhiyuan Cheng; James Caverlee; Kyumin Lee;
2010	2	Detecting Product Review Spammers Using Rating Behaviors IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper aims to detect users generating spam reviews or review spammers.	Ee-Peng Lim; Viet-An Nguyen; Nitin Jindal; Bing Liu; Hady Wirawan Lauw;
2010	3	TAGME: On-the-fly Annotation Of Short Text Fragments (by Wikipedia Entities) IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We designed and implemented TAGME, a system that is able to efficiently and judiciously augment a plain-text with pertinent hyperlinks to Wikipedia pages.	Paolo Ferragina; Ugo Scaiella;
2010	4	Classifying Sentiment In Microblogs: Is Brevity An Advantage? IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work we examine the hypothesis that it is easier to classify the sentiment in these short form documents than in longer form documents.	Adam Bermingham; Alan F. Smeaton;
2010	5	Finding Unusual Review Patterns Using Unexpected Rules IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We formulate the problem as finding unexpected rules.	Nitin Jindal; Bing Liu; Ee-Peng Lim;
2010	6	Travel Route Recommendation Using Geotags In Photo Sharing Sites IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a travel route recommendation method that makes use of the photographers’ histories as held by Flickr.	Takeshi Kurashima; Tomoharu Iwata; Go Irie; Ko Fujimura;
2010	7	Mining Topic-level Influence In Heterogeneous Networks IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address the problem, we propose a generative graphical model which utilizes the heterogeneous link information and the textual content associated with each node in the network to mine topic-level direct influence.	Lu Liu; Jie Tang; Jiawei Han; Meng Jiang; Shiqiang Yang;
2010	8	Understanding Retweeting Behaviors In Social Networks IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we perform an interesting analysis for the problem on Twitter.	ZI YANG et. al.
2010	9	Detecting Controversial Events From Twitter IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper addresses the task of identifying controversial events using Twitter as a starting point: we propose 3 models for this task and report encouraging initial results.	Ana-Maria Popescu; Marco Pennacchiotti;
2010	10	Predicting Short-term Interests Using Activity-based Search Context IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we describe a study in which we developed and evaluated user interest models for the current query, its context (from pre-query session activity), and their combination, which we refer to as intent.	Ryen W. White; Paul N. Bennett; Susan T. Dumais;
2010	11	Opinion Digger: An Unsupervised Opinion Miner From Unstructured Product Reviews IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose an unsupervised method, called Opinion Digger, which extracts important aspects of a product and determines the overall consumer’s satisfaction for each, by estimating a rating in the range from 1 to 5.	Samaneh Moghaddam; Martin Ester;
2010	12	Routing Questions To Appropriate Answerers In Community Question Answering Services IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In order to rank the answerers, we propose a framework called Question Routing (QR) which consists of four phases: (1) performance profiling, (2) expertise estimation, (3) availability estimation, and (4) answerer ranking.	Baichuan Li; Irwin King;
2010	13	Fast And Accurate Estimation Of Shortest Paths In Large Graphs IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we address this problem and present a scalable sketch-based index structure that not only supports estimation of node distances, but also computes corresponding shortest paths themselves.	Andrey Gubichev; Srikanta Bedathur; Stephan Seufert; Gerhard Weikum;
2010	14	SHRINK: A Structural Clustering Algorithm For Detecting Hierarchical Communities In Networks IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a parameter-free hierarchical network clustering algorithm SHRINK by combining the advantages of density-based clustering and modularity optimization methods.	JIANBIN HUANG et. al.
2010	15	Who Should I Cite: Learning Literature Search Models From Citation Behavior IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce a retrieval model for literature search that incorporates a wide variety of factors important to researchers, and learns the weights of each of these factors by observing citation patterns.	Steven Bethard; Dan Jurafsky;
2009	1	Joint Sentiment/topic Model For Sentiment Analysis IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper proposes a novel probabilistic modeling framework based on Latent Dirichlet Allocation (LDA), called joint sentiment/topic model (JST), which detects sentiment and topic simultaneously from text.	Chenghua Lin; Yulan He;
2009	2	Expected Reciprocal Rank For Graded Relevance IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Inspired by the "cascade" user model, we present a new editorial metric for graded relevance which overcomes this difficulty and implicitly discounts documents which are shown below very relevant documents.	Olivier Chapelle; Donald Metlzer; Ya Zhang; Pierre Grinspan;
2009	3	LoOP: Local Outlier Probabilities IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Many outlier detection methods do not merely provide the decision for a single data object being or not being an outlier but give also an outlier score or "outlier factor" signaling "how much" the respective data object is an outlier.	Hans-Peter Kriegel; Peer Kröger; Erich Schubert; Arthur Zimek;
2009	4	Personalized Social Search Based On The User’s Social Network IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In the on-line study we analyze the feedback of 240 employees exposed to the alternative personalization approaches.	DAVID CARMEL et. al.
2009	5	Group-by Skyline Query Processing In Relational Engines IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a comprehensive study on processing group-by skyline queries in the context of relational engines.	Ming-Hay Luk; Man Lung Yiu; Eric Lo;
2009	6	Fast Shortest Path Distance Estimation In Large Networks IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we study approximate landmark-based methods for point-to-point distance estimation in very large networks.	Michalis Potamias; Francesco Bonchi; Carlos Castillo; Aristides Gionis;
2009	7	Analyzing And Evaluating Query Reformulation Strategies In Web Search Logs IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we aim to better understand how web searchers refine queries and form a theoretical foundation for query reformulation.	Jeff Huang; Efthimis N. Efthimiadis;
2009	8	Exploiting Internal And External Semantics For The Clustering Of Short Texts Using World Knowledge IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel framework to improve the performance of short texts clustering by exploiting the internal semantics from original text and external concepts from world knowledge.	Xia Hu; Nan Sun; Chao Zhang; Tat-Seng Chua;
2009	9	Event Detection From Flickr Data Through Wavelet-based Spatial Analysis IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Our focus in this paper is to detect events from photos on Flickr, an Internet image community website.	Ling Chen; Abhishek Roy;
2009	10	Scalable Learning Of Collective Behavior Based On Sparse Social Dimensions IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we aim to learn to predict collective behavior in social media.	Lei Tang; Huan Liu;
2009	11	Stochastic Gradient Boosted Distributed Decision Trees IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we present two different distributed methods that generates exact stochastic GBDT models, the first is a MapReduce implementation and the second utilizes MPI on the Hadoop grid environment.	Jerry Ye; Jyh-Herng Chow; Jiang Chen; Zhaohui Zheng;
2009	12	Improvements That Don’t Add Up: Ad-hoc Retrieval Results Since 1998 IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we analyze results achieved on the TREC Ad-Hoc, Web, Terabyte, and Robust collections as reported in SIGIR (1998–2008) and CIKM (2004–2008).	Timothy G. Armstrong; Alistair Moffat; William Webber; Justin Zobel;
2009	13	The Effect Of Negation On Sentiment Analysis And Retrieval Effectiveness IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We investigate the problem of determining the polarity of sentiments when one or more occurrences of a negation term such as "not" appear in a sentence.	Lifeng Jia; Clement Yu; Weiyi Meng;
2009	14	P-Rank: A Comprehensive Structural Similarity Measure Over Information Networks IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a new similarity measure, P-Rank (Penetrating Rank), toward effectively computing the structural similarities of entities in real information networks.	Peixiang Zhao; Jiawei Han; Yizhou Sun;
2009	15	Named Entity Disambiguation By Leveraging Wikipedia Semantic Knowledge IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To overcome the previous methods’ deficiencies, this paper proposes to use Wikipedia as the background knowledge for disambiguation, which surpasses other knowledge bases by the coverage of concepts, rich semantic information and up-to-date content.	Xianpei Han; Jun Zhao;
2008	1	Learning To Link With Wikipedia IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes how to automatically cross-reference documents with Wikipedia: the largest knowledge base ever known.	David Milne; Ian H. Witten;
2008	2	SoRec: Social Recommendation Using Probabilistic Matrix Factorization IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Following the intuition that a person’s social network will affect personal behaviors on the Web, this paper proposes a factor analysis approach based on probabilistic matrix factorization to solve the data sparsity and poor prediction accuracy problems by employing both users’ social network information and rating records.	Hao Ma; Haixuan Yang; Michael R. Lyu; Irwin King;
2008	3	Beyond The Session Timeout: Automatic Hierarchical Segmentation Of Search Topics In Query Logs IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work we study real sessions manually labeled into hierarchical tasks, and show that timeouts, whatever their length, are of limited utility in identifying task boundaries, achieving a maximum precision of only 70%.	Rosie Jones; Kristina Lisa Klinkner;
2008	4	Can All Tags Be Used For Search? IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper is the first to present an in-depth study of tagging behavior for very different kinds of resources and systems – Web pages (Del.icio.us), music (Last.fm), and images (Flickr) – and compares the results with anchor text characteristics.	Kerstin Bischoff; Claudiu S. Firan; Wolfgang Nejdl; Raluca Paiu;
2008	5	Query Suggestion Using Hitting Time IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a novel query suggestion algorithm based on ranking queries with the hitting time on a large scale bipartite graph.	Qiaozhu Mei; Dengyong Zhou; Kenneth Church;
2008	6	The Query-flow Graph: Model And Applications IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we introduce the query-flow graph, a graph representation of the interesting knowledge about latent querying behavior.	PAOLO BOLDI et. al.
2008	7	How Does Clickthrough Data Reflect Retrieval Quality? IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a sequence of studies investigating this relationship for an operational search engine on the arXiv.org e-print archive.	Filip Radlinski; Madhu Kurup; Thorsten Joachims;
2008	8	Mining Social Networks Using Heat Diffusion Processes For Marketing Candidates Selection IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose to model social network marketing using Heat Diffusion Processes.	Hao Ma; Haixuan Yang; Michael R. Lyu; Irwin King;
2008	9	Proactive Learning: Cost-sensitive Active Learning With Multiple Imperfect Oracles IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Proactive learning is a generalization of active learning designed to relax unrealistic assumptions and thereby reach practical applications. Active learning seeks to select the …	Pinar Donmez; Jaime G. Carbonell;
2008	10	Discovering Leaders From Community Actions IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce a novel frequent pattern mining approach to discover leaders and tribes in social networks.	Amit Goyal; Francesco Bonchi; Laks V.S. Lakshmanan;
2008	11	Understanding The Relationship Between Searchers’ Queries And Information Goals IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe results from Web search log studies aimed at elucidating user behaviors associated with queries and destination URLs that appear with different frequencies.	Doug Downey; Susan Dumais; Dan Liebling; Eric Horvitz;
2008	12	Modeling Hidden Topics On Document Manifold IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we consider the problem of topic modeling on intrinsic document manifold.	Deng Cai; Qiaozhu Mei; Jiawei Han; Chengxiang Zhai;
2008	13	Modeling LSH For Performance Tuning IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this problem, we present a statistical performance model of Multi-probe LSH, a state-of-the-art variance of LSH.	Wei Dong; Zhe Wang; William Josephson; Moses Charikar; Kai Li;
2008	14	Mining Term Association Patterns From Search Logs For Effective Query Reformulation IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose to mine search engine logs for patterns at the level of terms through analyzing the relations of terms inside a query.	Xuanhui Wang; ChengXiang Zhai;
2008	15	BNS Feature Scaling: An Improved Representation Over Tf-idf For Svm Text Classification IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: In the realm of machine learning for text classification, TF-IDF is the most widely used representation for real-valued feature vectors. However, IDF is oblivious to the training …	George Forman;
2007	1	Wikify!: Linking Documents To Encyclopedic Knowledge IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper introduces the use of Wikipedia as a resource for automatic keyword extraction and word sense disambiguation, and shows how this online encyclopedia can be used to achieve state-of-the-art results on both these tasks.	Rada Mihalcea; Andras Csomai;
2007	2	A Comparison Of Statistical Significance Tests For Information Retrieval Evaluation IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: For each of these five tests, we took the ad-hoc retrieval runs submitted to TRECs 3 and 5-8, and for each pair of runs, we measured the statistical significance of the difference in their mean average precision.	Mark D. Smucker; James Allan; Ben Carterette;
2007	3	Autonomously Semantifying Wikipedia IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper argues that autonomously "Semantifying Wikipedia" is the best way to solve the problem.	Fei Wu; Daniel S. Weld;
2007	4	Discovering Authorities In Question Answer Communities By Using Link Analysis IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present an analysis of the link structure of a general-purpose question answering community to discover authoritative users, and promising experimental results over a dataset of more than 3 million answers from a popular community QA site.	Pawel Jurczyk; Eugene Agichtein;
2007	5	Web Search Personalization With Ontological User Profiles IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present an approach to personalized search that involves building models of user context as ontological profiles by assigning implicitly derived interest scores to existing concepts in a domain ontology.	Ahu Sieg; Bamshad Mobasher; Robin Burke;
2007	6	Learning On The Border: Active Learning In Imbalanced Data Classification IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we demonstrate that active learning is capable of solving the class imbalance problem by providing the learner more balanced classes.	Seyda Ertekin; Jian Huang; Leon Bottou; Lee Giles;
2007	7	Measuring Article Quality In Wikipedia: Models And Evaluation IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we investigate the problem of assessing the quality of articles in collaborative authoring of Wikipedia.	Meiqun Hu; Ee-Peng Lim; Aixin Sun; Hady Wirawan Lauw; Ba-Quy Vuong;
2007	8	Identifying Opinion Leaders In The Blogosphere IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel algorithm called InfluenceRank to identify opinion leaders in the blogosphere.	Xiaodan Song; Yun Chi; Koji Hino; Belle Tseng;
2007	9	Effective Keyword Search For Valuable Lcas Over Xml Documents IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we study the problem of effective keyword search over XML documents.	Guoliang Li; Jianhua Feng; Jianyong Wang; Lizhu Zhou;
2007	10	Detecting Distance-based Outliers In Streams Of Data IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work a method for detecting distance-based outliers in data streams is presented.	Fabrizio Angiulli; Fabio Fassetti;
2007	11	A Knowledge-based Search Engine Powered By Wikipedia IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes Koru, a new search interface that offers effective domain-independent knowledge-based information retrieval.	David N. Milne; Ian H. Witten; David M. Nichols;
2007	12	Opinion Retrieval From Blogs IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we describe an opinion retrieval algorithm.	Wei Zhang; Clement Yu; Weiyi Meng;
2007	13	Weakly-supervised Discovery Of Named Entities Using Web Search Queries IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: A seed-based framework for textual information extraction allows for weakly supervised extraction of named entities from anonymized Web search queries. The extraction is guided by …	Marius Paşca;
2007	14	Proximity-based Document Representation For Named Entity Retrieval IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The main contribution of this work is an effective formal method for explicitly modeling the dependency between the named entities and terms which appear in a document.	Desislava Petkova; W. Bruce Croft;
2007	15	Comments-oriented Blog Summarization By Sentence Extraction IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this research, we aim to extract representative sentences from a blog post that best represent the topics discussed among its comments.	Meishan Hu; Aixin Sun; Ee-Peng Lim;
2006	1	Movie Review Mining And Summarization IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we focus on a specific domain – movie review.	Li Zhuang; Feng Jing; Xiao-Yan Zhu;
2006	2	Estimating Average Precision With Incomplete And Imperfect Judgments IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose three evaluation measures that (1) are approximations to average precision even when the relevance judgments are incomplete and (2) are more robust to incomplete or imperfect relevance judgments than bpref.	Emine Yilmaz; Javed A. Aslam;
2006	3	Voting For Candidates: Adapting Data Fusion Techniques For An Expert Search Task IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel approach for predicting and ranking candidate expertise with respect to a query.	Craig Macdonald; Iadh Ounis;
2006	4	Utility Scoring Of Product Reviews IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We identify a new task in the ongoing research in text sentiment analysis: predicting utility of product reviews, which is orthogonal to polarity classification and opinion extraction.	Zhu Zhang; Balaji Varadarajan;
2006	5	On The Structural Properties Of Massive Telecom Call Graphs: Findings And Implications IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Based on our analysis, we introduce the Treasure-Hunt model to describe the shape of mobile call graphs.	AMIT A. NANAVATI et. al.
2006	6	A Data Stream Language And System Designed For Power And Extensibility IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: ESL supports physical and logical windows (with optional slides and tumbles) on both built-in aggregates and UDAs, using a simple framework that applies uniformly to both aggregate functions written in an external procedural languages and those natively written in ESL.	Yijian Bai; Hetal Thakkar; Haixun Wang; Chang Luo; Carlo Zaniolo;
2006	7	Incremental Hierarchical Clustering Of Text Documents IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We discuss why, in the current form, these algorithms are not suitable for text clustering and propose an alternative formulation that includes changes to the underlying distributional assumption of the algorithm in order to conform with the data.	Nachiketa Sahoo; Jamie Callan; Ramayya Krishnan; George Duncan; Rema Padman;
2006	8	Ranking Robustness: A Novel Framework To Predict Query Performance IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we introduce the notion of ranking robustness, which refers to a property of a ranked list of documents that indicates how stable the ranking is in the presence of uncertainty in the ranked documents.	Yun Zhou; W. Bruce Croft;
2006	9	Optimisation Methods For Ranking Functions With Multiple Parameters IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We build on recent advances in alternative differentiable pairwise cost functions, and show that these techniques can be successfully applied to tuning the parameters of an existing family of IR scoring functions (BM25), in the sense that we cannot do better using sensible search heuristics that directly optimize the rank-based cost function NDCG.	Michael Taylor; Hugo Zaragoza; Nick Craswell; Stephen Robertson; Chris Burges;
2006	10	A Study On The Effects Of Personalization And Task Information On Implicit Feedback Performance IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we describe a study on the effect on retrieval performance of using additional information about the user and their search tasks when developing IRF algorithms.	Ryen W. White; Diane Kelly;
2006	11	SaLSa: Computing The Skyline Without Scanning The Whole Sky IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we introduce SaLSa (Sort and Limit Skyline algorithm), which exploits the sorting machinery of a relational engine to order tuples so that only a subset of them needs to be examined for computing the skyline result.	Ilaria Bartolini; Paolo Ciaccia; Marco Patella;
2006	12	On GMAP: And Other Transformations IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper discusses the status of this measure and how it should be understood.	Stephen Robertson;
2006	13	A Fast And Robust Method For Web Page Template Detection And Removal IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we present a new method that efficiently and accurately removes templates found in collections of web pages.	KARANE VIEIRA et. al.
2006	14	An Integer Programming Approach For Frequent Itemset Hiding IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we investigate the problem of securing sensitive knowledge from being exposed in patterns extracted during association rule mining.	Aris Gkoulalas-Divanis; Vassilios S. Verykios;
2006	15	Efficient Join Processing Over Uncertain Data IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we address join queries over uncertain data. For this class of joins we develop three sets of optimization techniques: item-level, page-level, and index-level pruning.	REYNOLD CHENG et. al.
2005	1	Using Appraisal Groups For Sentiment Analysis IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a new method for sentiment classification based on extracting and analyzing appraisal groups such as “very good” or “not terribly funny”.	Casey Whitelaw; Navendu Garg; Shlomo Argamon;
2005	2	Implicit User Modeling For Personalized Search IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we study how to infer a user’s interest from the user’s search context and use the inferred implicit user model for personalized search.	Xuehua Shen; Bin Tan; ChengXiang Zhai;
2005	3	Finding Similar Questions In Large Question And Answer Archives IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we discuss methods for question retrieval that are based on using the similarity between answers in the archive to estimate probabilities for a translation-based retrieval model.	Jiwoon Jeon; W. Bruce Croft; Joon Ho Lee;
2005	4	Domain-specific Keyphrase Extraction IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes a Keyphrase Identification Program (KIP), which extracts document keyphrases by using prior positive samples of human identified domain keyphrases to assign weights to the candidate keyphrases.	Yi-fang Brook Wu; Quanzhi Li; Razvan Stefan Bot; Xin Chen;
2005	5	Collective Multi-label Classification IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper explores multi-label conditional random field (CRF)classification models that directly parameterize label co-occurrences in multi-label classification.	Nadia Ghamrawi; Andrew McCallum;
2005	6	Determining The Semantic Orientation Of Terms Through Gloss Classification IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we present a new method for determining the orientation of subjective terms.	Andrea Esuli; Fabrizio Sebastiani;
2005	7	Time Weight Collaborative Filtering IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a novel algorithm to compute the time weights for different items in a manner that will assign a decreasing weight to old data.	Yi Ding; Xue Li;
2005	8	Hybrid Index Structures For Location-based Web Search IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose to use a hybrid index structure, which integrates inverted files and R-trees, to handle both textual and location aware queries.*	Yinghua Zhou; Xing Xie; Chuang Wang; Yuchang Gong; Wei-Ying Ma;
2005	9	ViPER: Augmenting Automatic Information Extraction With Visual Perceptions IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we address the problem of unsupervised Web data extraction.	Kai Simon; Georg Lausen;
2005	10	Fast Webpage Classification Using URL Features IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We demonstrate the usefulness of the uniform resource locator (URL) alone in performing web page classification.	Min-Yen Kan; Hoang Oanh Nguyen Thi;
2005	11	Concept-based Interactive Query Expansion IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work we propose a novel concept-based query expansion technique, which allows disambiguating queries submitted to search engines.	Bruno M. Fonseca; Paulo Golgher; Bruno Pôssas; Berthier Ribeiro-Neto; Nivio Ziviani;
2005	12	Finding Experts In Community-based Question-answering Services IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Xiaoyong Liu; W. Bruce Croft; Matthew Koll;
2005	13	Query Expansion Using Random Walk Models IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This is particularly important when trying to predict the probability of relevance of a set of terms given a query, which may involve both lexical and semantic relations between the terms.We describe a Markov chain framework that combines multiple sources of knowledge on term associations.	Kevyn Collins-Thompson; Jamie Callan;
2005	14	Query Expansion Using Term Relationships In Language Models For Information Retrieval IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In some recent studies, dependence models have been proposed to incorporate term relationships into LM, so that links can be created between words in the same sentence, and term relationships (e.g. synonymy) can be used to expand the document model.	Jing Bai; Dawei Song; Peter Bruza; Jian-Yun Nie; Guihong Cao;
2005	15	Similarity Measures For Tracking Information Flow IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we explore mechanisms for measuring such intermediate kinds of similarity, focusing on the task of identifying where a particular piece of information originated.	Donald Metzler; Yaniv Bernstein; W. Bruce Croft; Alistair Moffat; Justin Zobel;
2004	1	Swoogle: A Search And Metadata Engine For The Semantic Web IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Discovered documents are also indexed by an information retrieval system which can use either character N-Gram or URIrefs as keywords to find relevant documents and to compute the similarity among a set of documents.	LI DING et. al.
2004	2	Simple BM25 Extension To Multiple Weighted Fields IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes a simple way of adapting the BM25 ranking formula to deal with structured documents.	Stephen Robertson; Hugo Zaragoza; Michael Taylor;
2004	3	Hierarchical Document Categorization With Support Vector Machines IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel hierarchical classification method that generalizes Support Vector Machine learning and that is based on discriminant functions that are structured in a way that mirrors the class hierarchy.	Lijuan Cai; Thomas Hofmann;
2004	4	Optimizing Web Search Using Web Click-through Data IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel iterative reinforced algorithm to utilize the user click-through data to improve search performance.	GUI-RONG XUE et. al.
2004	5	Event Threading Within News Topics IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we attempt to capture the rich structure of events and their dependencies in a news topic through our event models.	Ramesh Nallapati; Ao Feng; Fuchun Peng; James Allan;
2004	6	Taxonomy-driven Computation Of Product Recommendations IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We exploit such taxonomic background knowledge for the computation of personalized recommendations.	Cai-Nicolas Ziegler; Georg Lausen; Lars Schmidt-Thieme;
2004	7	Acquisition Of Categorized Named Entities For Web Search IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a lightly supervised method for acquiring named entities in arbitrary categories.	Marius Pasca;
2004	8	Efficient Processing Of XML Twig Patterns With Parent Child Edges: A Look-ahead Approach IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To overcome this limitation, in this paper, we propose a novel holistic twig join algorithm, namely <i>TwigStackList</i>.	Jiaheng Lu; Ting Chen; Tok Wang Ling;
2004	9	Stemming And Lemmatization In The Clustering Of Finnish Text Documents IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Since Finnish is a highly inflectional and agglutinative language, we hypothesized that lemmatization, involving splitting of the compound words, would be more appropriate normalization approach than the straightforward stemming.	Tuomo Korenius; Jorma Laurikkala; Kalervo Järvelin; Martti Juhola;
2004	10	Scalable Sequential Pattern Mining For Biological Sequences IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we study how this explosion affects the classic sequential pattern mining, and present a scalable two-phase algorithm to deal with this new explosion.	Ke Wang; Yabo Xu; Jeffrey Xu Yu;
2004	11	A Practical Web-based Approach To Generating Topic Hierarchy For Text Segments IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we address the problem of generating topic hierarchies for diverse text segments with a general and practical approach that uses the Web as an additional knowledge source.	Shui-Lung Chuang; Lee-Feng Chien;
2004	12	Computing Consistent Query Answers Using Conflict Hypergraphs IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present here a practical framework for computing consistent query answers for large, possibly inconsistent relational databases.	Jan Chomicki; Jerzy Marcinkowski; Slawomir Staworko;
2004	13	Image Similarity Search With Compact Data Structures IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper proposes a new similarity search method consisting of three parts.	Qin Lv; Moses Charikar; Kai Li;
2004	14	QFilter: Fine-grained Run-time XML Access Control Via NFA-based Query Rewriting IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we take a different approach that assumes no security support from underlying XML databases and examine three alternative fine-grained XML access control solutions, namely <i>primitive, pre-processing</i> and <i>post-processing</i> approaches.	Bo Luo; Dongwon Lee; Wang-Chien Lee; Peng Liu;
2004	15	Local Methods For Estimating Pagerank Values IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We address this problem by studying several methods for efficiently estimating the PageRank score of a particular web page using only a small subgraph of the entire web.	Yen-Yu Chen; Qingqing Gan; Torsten Suel;
2003	1	The Link Prediction Problem For Social Networks IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We formalize this question as the link prediction problem, and develop approaches to link prediction based on measures the "proximity" of nodes in a network.	David Liben-Nowell; Jon Kleinberg;
2003	2	Efficient Query Evaluation Using A Two-level Retrieval Process IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present an efficient query evaluation method based on a two level approach: at the first level, our method iterates in parallel over query term postings and identifies candidate documents using an approximate evaluation taking into account only partial information on term occurrences and no query independent factors; at the second level, promising candidates are fully evaluated and their exact scores are computed.	Andrei Z. Broder; David Carmel; Michael Herscovici; Aya Soffer; Jason Zien;
2003	3	Expertise Identification Using Email Communications IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To find answers to these questions, two algorithms for determining expertise from email were compared: a content-based approach that takes account only of email text, and a graph-based ranking algorithm (HITS) that takes account both of text and communication patterns.	Christopher S. Campbell; Paul P. Maglio; Alex Cozzi; Byron Dom;
2003	4	Time-based Language Models IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a time-based language model approach to retrieval for these queries.	Xiaoyan Li; W. Bruce Croft;
2003	5	Content-based Retrieval In Hybrid Peer-to-peer Networks IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we study the application of content-based resource selection and document retrieval to hybrid peer-to-peer networks.	Jie Lu; Jamie Callan;
2003	6	Ontologies For Semantically Interoperable Systems IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we discuss the use of ontologies for semantic interoperability and integration.	Leo Obrst;
2003	7	Categorizing Web Queries According To Geographical Locality IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we address this problem by first defining how to categorize queries according to their (often implicit) geographical locality.	Luis Gravano; Vasileios Hatzivassiloglou; Richard Lichtenstein;
2003	8	Statistical Transliteration For English-arabic Cross Language Information Retrieval IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In the present study, we present a simple statistical technique to train an English to Arabic transliteration model from pairs of names.	Nasreen AbdulJaleel; Leah S. Larkey;
2003	9	Dynamically Maintaining Frequent Items Over A Data Stream IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a new novel algorithm, called hCount, which can handle both insertion and deletion of items with a much less memory space than the best reported algorithm.	Cheqing Jin; Weining Qian; Chaofeng Sha; Jeffrey X. Yu; Aoying Zhou;
2003	10	Query Expansion Using Associated Queries IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a new method of obtaining expansion terms, based on selecting terms from past user queries that are associated with documents in the collection.	Bodo Billerbeck; Falk Scholer; Hugh E. Williams; Justin Zobel;
2003	11	High Dimensional Reverse Nearest Neighbor Queries IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose an approximate solution to answer RNN queries in high dimensions.	Amit Singh; Hakan Ferhatosmanoglu; Ali Şaman Tosun;
2003	12	XML Parsing: A Threat To Database Performance IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We report real-word database applications where XML parsing performance is a key obstacle to a successful XML deployment.	Matthias Nicola; Jasmi John;
2003	13	Visualization Of Communication Patterns In Collaborative Innovation Networks – Analysis Of Some W3C Working Groups IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Collaborative Innovation Networks (COINs) are groups of self-motivated individuals from various parts of an organization or from multiple organizations, empowered by the Internet, who work together on a new idea, driven by a common vision.	Peter A. Gloor; Rob Laubacher; Scott B. C. Dynes; Yan Zhao;
2003	14	Question Answering From The Web Using Knowledge Annotation And Knowledge Mining Techniques IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a strategy for answering fact-based natural language questions that is guided by a characterization of real-world user queries.	Jimmy Lin; Boris Katz;
2003	15	Combining Link-based And Content-based Methods For Web Document Classification IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This work provides an important insight on which measures derived from links are more appropriate to compare Web documents and how these measures can be combined with content-based algorithms to improve the effectiveness of Web classification.	P&AACUTE;VEL CALADO et. al.
2002	1	Evaluation Of Hierarchical Clustering Algorithms For Document Datasets IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a new class of clustering algorithms called constrained agglomerative algorithms that combine the features of both partitional and agglomerative algorithms.	Ying Zhao; George Karypis;
2002	2	A Local Search Mechanism For Peer-to-peer Networks IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose two mechanisms for information retrieval in pure peer-to-peer networks.	Vana Kalogeraki; Dimitrios Gunopulos; D. Zeinalipour-Yazti;
2002	3	Alternatives To The K-means Algorithm That Find Better Clusterings IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe each algorithm in a unified framework that introduces separate cluster membership and data weight functions.	Greg Hamerly; Charles Elkan;
2002	4	COOLCAT: An Entropy-based Algorithm For Categorical Clustering IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we explore the connection between clustering categorical data and entropy: clusters of similar poi lower entropy than those of dissimilar ones.	Daniel Barbará; Yi Li; Julia Couto;
2002	5	High-performing Feature Selection For Text Classification IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We found that feature selection methods based on chi² statistics consistently outperformed those based on other criteria (including information gain) for all four classifiers and both data collections, and that a further increase in performance was obtained by combining uncorrelated and high-performing feature selection methods.The results we obtained using only 3% of the available features are among the best reported, including results obtained with the full feature set.	Monica Rogati; Yiming Yang;
2002	6	Personalized Web Search By Mapping User Queries To Categories IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a novel technique to map a user query to a set of categories, which represent the user’s search intention.	Fang Liu; Clement Yu; Weiyi Meng;
2002	7	A Compact And Efficient Image Retrieval Approach Based On Border/interior Pixel Classification IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents \bic (Border/Interior pixel Classification), a compact and efficient CBIR approach suitable for broad image domains.	Renato O. Stehling; Mario A. Nascimento; Alexandre X. Falcão;
2002	8	Condorcet Fusion For Improved Retrieval IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a new algorithm for improving retrieval results by combining document ranking functions: Condorcet-fuse.	Mark Montague; Javed A. Aslam;
2002	9	Mining Sequential Patterns With Constraints In Large Databases IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we investigate this issue and point out that the framework developed for constrained frequent-pattern mining does not fit our missions well.	Jian Pei; Jiawei Han; Wei Wang;
2002	10	XClust: Clustering XML Schemas For Effective Integration IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce XClust, a novel integration strategy that involves the clustering of DTDs.	Mong Li Lee; Liang Huai Yang; Wynne Hsu; Xia Yang;
2002	11	Information Retrieval On The Semantic Web IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe an approach to retrieval of documents that contain of both free text and semantically enriched markup.	Urvi Shah; Tim Finin; Anupam Joshi; R. Scott Cost; James Matfield;
2002	12	On Arabic Search: Improving The Retrieval Effectiveness Via A Light Stemming Approach IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present two stemming algorithms for Arabic information retrieval systems.	Mohammed Aljlayl; Ophir Frieder;
2002	13	Passage Retrieval Based On Language Models IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Previous research has shown that passage-level evidence can bring added benefits to document retrieval when documents are long or span different subject areas.	Xiaoyong Liu; W. Bruce Croft;
2002	14	A Language Modeling Framework For Resource Selection And Results Merging IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Statistical language models have been proposed recently for several information retrieval tasks, including the resource selection task in distributed information retrieval.	Luo Si; Rong Jin; Jamie Callan; Paul Ogilvie;
2002	15	Topic-based Document Segmentation With Probabilistic Latent Semantic Analysis IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a new method for topic-based document segmentation, i.e., the identification of boundaries between parts of a document that bear on different topics.	Thorsten Brants; Francine Chen; Ioannis Tsochantaridis;
2001	1	Managing Trust In A Peer-2-peer Information System IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we present an approach that addresses the problem of reputation-based trust management at both the data management and the semantic level.	Karl Aberer; Zoran Despotovic;
2001	2	Model-based Feedback In The Language Modeling Approach To Information Retrieval IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a more principled approach to feedback in the language modeling approach.	Chengxiang Zhai; John Lafferty;
2001	3	Evaluation Of Item-Based Top-N Recommendation Algorithms IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Our experimental evaluation on five different datasets show that the proposed item-based algorithms are up to 28 times faster than the traditional user-neighborhood based recommender systems and provide recommendations whose quality is up to 27% better.	George Karypis;
2001	4	Bipartite Graph Partitioning And Data Clustering IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a new data clustering method based on partitioning the underlying bipartite graph.	Hongyuan Zha; Xiaofeng He; Chris Ding; Horst Simon; Ming Gu;
2001	5	A Statistical Model For Scientific Readability IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a new method of using statistical models to estimate readability [1].	Luo Si; Jamie Callan;
2001	6	Keeping Found Things Found On The Web IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes the results of an observational study into the methods people use to manage web information for re-use.	William Jones; Harry Bruce; Susan Dumais;
2001	7	Evaluating Document Clustering For Interactive Information Retrieval IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We consider the problem of organizing and browsing the top ranked portion of the documents returned by an information retrieval system.	Anton Leuski;
2001	8	Relevance Score Normalization For Metasearch IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we show that the techniques used for normalizing relevance scores and estimating the relevance scores of unretrieved documents can have a significant effect on the overall performance of metasearch.	Mark Montague; Javed A. Aslam;
2001	9	Multi-dimensional Sequential Pattern Mining IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: It is interesting and useful to mine sequential patterns associated with multi-dimensional information.In this paper, we propose the theme of multi-dimensional sequential pattern mining, which integrates the multidimensional analysis and sequential data mining.	HELEN PINTO et. al.
2001	10	Using LSI For Text Classification In The Presence Of Background Text IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents work that uses Latent Semantic Indexing (LSI) for text classification.	Sarah Zelikovitz; Haym Hirsh;
2001	11	A Music Recommendation System Based On Music Data Grouping And User Interests IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we design the Music Recommendation System (MRS) to provide a personalized service of music recommendation.	Hung-Chen Chen; Arbee L. P. Chen;
2001	12	Sliding-window Filtering: An Efficient Algorithm For Incremental Mining IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We explore in this paper an effective sliding-window filtering (abbreviatedly as SWF) algorithm for incremental mining of association rules.	Chang-Hung Lee; Cheng-Ru Lin; Ming-Syan Chen;
2001	13	Mining The Web To Create Minority Language Corpora IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe CorpusBuilder, an approach for automatically generating Web-search queries for collecting documents in a minority language.	Rayid Ghani; Rosie Jones; Dunja Mladenić;
2001	14	Question Answering In TREC IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The purpose of the conference series is to encourage research on text retrieval for realistic applications by providing large test collections, uniform scoring procedures, and a forum for organizations interested in comparing results.	Ellen M. Voorhees;
2001	15	Summarization As Feature Selection For Text Categorization IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We address the problem of evaluating the effectiveness of summarization techniques for the task of document categorization.	Aleksander Kolcz; Vidya Prabakarmurthi; Jugal Kalita;
2000	1	Analyzing The Effectiveness And Applicability Of Co-training IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Kamal Nigam; Rayid Ghani;
2000	2	Sequence Mining In Categorical Domains: Incorporating Constraints IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Mohammed J. Zaki;
2000	3	A Comparison Of DFT And DWT Based Similarity Search In Time-series Databases IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Yi-Leh Wu; Divyakant Agrawal; Amr El Abbadi;
2000	4	Clustering Through Decision Tree Construction IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Bing Liu; Yiyuan Xia; Philip S. Yu;
2000	5	First Story Detection In TDT Is Hard IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	James Allan; Victor Lavrenko; Hubert Jin;
2000	6	Language Models For Financial News Recommendation IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	VICTOR LAVRENKO et. al.
2000	7	WebCQ-detecting And Delivering Information Changes On The Web IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Ling Liu; Calton Pu; Wei Tang;
2000	8	Automatically Summarising Web Sites: Is There A Way Around It? IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Einat Amitay; Cécile Paris;
2000	9	Personal Ontologies For Web Navigation IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Jason Chaffee; Susan Gauch;
2000	10	Vector Approximation Based Indexing For Non-uniform High Dimensional Data Sets IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Hakan Ferhatosmanoglu; Ertem Tuncel; Divyakant Agrawal; Amr El Abbadi;
2000	11	Creating And Evaluating Multi-document Sentence Extract Summaries IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Jade Goldstein; Vibhu Mittal; Jaime Carbonell; Jamie Callan;
2000	12	Collection Selection And Results Merging With Topically Organized U.S. Patents And TREC Data IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Leah S. Larkey; Margaret E. Connell; Jamie Callan;
2000	13	Space Efficient Bitmap Indexing IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Nick Koudas;
2000	14	Boosting For Document Routing IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Raj D. Iyer; David D. Lewis; Robert E. Schapire; Yoram Singer; Amit Singhal;
2000	15	An Improved Boosting Algorithm And Its Application To Text Categorization IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Fabrizio Sebastiani; Alessandro Sperduti; Nicola Valdambrini;
1999	1	A General Language Model For Information Retrieval IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we will present a new language model for information retrieval, which is based on a range of data smoothing techniques, including the Good-Turning estimate, curve-fitting functions, and model combinations.	Fei Song; W. Bruce Croft;
1999	2	Clustering Transactions Using Large Items IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a clustering algorithm based on the new clustering criterion and evaluate its effectiveness.	Ke Wang; Chu Xu; Bing Liu;
1999	3	Incremental And Interactive Sequence Mining IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose novel techniques for maintaining sequences in the presence of a) database updates, and b) user interaction (e.g. modifying mining parameters).	S. Parthasarathy; M. J. Zaki; M. Ogihara; S. Dwarkadas;
1999	4	Yahoo! As An Ontology: Using Yahoo! Categories To Describe Documents IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In the course of investigating this idea, we address the problem of automatic categorization of webpages in the Yahoo! directory.	Yannis Labrou; Tim Finin;
1999	5	Haystack: Per-user Information Environments IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes the prototype Haystack system.	Eytan Adar; David Karger; Lynn Andrea Stein;
1999	6	Training A Selection Function For Extraction IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we compare performance of several heuristics in generating informative generic/query-oriented extracts for newspaper articles in order to learn how topic prominence affects the performance of each heuristic.	Chin-Yew Lin;
1999	7	An Adaptive Algorithm For Learning Changes In User Interests IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we describe a new scheme to learn dynamic user’s interests in an automated information filtering and gathering system running on the Internet.	Dwi H. Widyantoro; Thomas R. Ioerger; John Yen;
1999	8	Indexing And Retrieval Of Scientific Literature IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper discusses the creation of digital libraries of scientific literature on the web, including the efficient location of articles, full-text indexing of the articles, autonomous citation indexing, information extraction, display of query-sensitive summaries and citation context, hubs and authorities computation, similar document detection, user profiling, distributed error correction, graph analysis, and detection of overlapping documents.	Steve Lawrence; Kurt Bollacker; C. Lee Giles;
1999	9	Architecture Of A Metasearch Engine That Supports User Information Needs IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we describe a metasearch engine architecture that considers the user’s information need for each decision.	Eric J. Glover; Steve Lawrence; William P. Birmingham; C. Lee Giles;
1999	10	Extracting Significant Time Varying Features From Text IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a simple statistical model for the frequency of occurrence of features in a stream of text.	Russell Swan; James Allan;
1999	11	Extracting Semi-structured Data Through Examples IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we describe an innovative approach to extracting semi-structured data from Web sources.	Berthier Ribeiro-Neto; Alberto H. F. Laender; Altigran S. da Silva;
1999	12	A Probabilistic Description-oriented Approach For Categorizing Web Documents IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Two ways to respond to this challenge are (1) using a representation of the content of web documents that captures these two characteristics and (2) using more effective classifiers.	Norbert Gövert; Mounia Lalmas; Norbert Fuhr;
1999	13	An Automated Approach For Retrieving Hierarchical Data From HTML Tables IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose an automated approach for retrieving hierarchical data from HTML tables.	Seung-Jin Lim; Yiu-Kai Ng;
1999	14	Semantic Caching Via Query Matching For Web Sources IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: A polynomial time algorithm based on the proposed query matching technique is presented to find the best matched query in the cache.	Dongwon Lee; Wesley W. Chu;
1999	15	Ontology-based Web Site Mapping For Information Exploration IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this article, we introduce an ontology-based web site mapping method used to produce conceptual meta-information, the Vector Space approach, and present a serial of experiments comparing it with Naïve-Bayes approach.	Xiaolan Zhu; Susan Gauch; Lutz Gerhard; Nicholas Kral; Alexander Pretschner;
1998	1	Inductive Learning Algorithms And Representations For Text Categorization IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Susan Dumais; John Platt; David Heckerman; Mehran Sahami;
1998	2	Data Cube Approximation And Histograms Via Wavelets IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Jeffrey Scott Vitter; Min Wang; Bala Iyer;
1998	3	Efficient Enumeration Of Frequent Sequences IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Mohammed J. Zaki;
1998	4	Ontology-based Extraction And Structuring Of Information From Data-rich Unstructured Documents IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	David W. Embley; Douglas M. Campbell; Randy D. Smith; Stephen W. Liddle;
1998	5	Efficient Repeating Pattern Finding In Music Databases IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Jia-Lien Hsu; Arbee L. P. Chen; C.-C. Liu;
1998	6	Supporting Fast Search In Time Series For Movement Patterns In Multiple Scales IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Yunyao Qu; Changzhou Wang; X. Sean Wang;
1998	7	MALM: A Framework For Mining Sequence Database At Multiple Abstraction Levels IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Chung-Sheng Li; Philip S. Yu; Vittorio Castelli;
1998	8	SERF: Schema Evolution Through An Extensible, Re-usable And Flexible Framework IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Kajal T. Claypool; Jing Jin; Elke A. Rundensteiner;
1998	9	Accurate User Directed Summarization From Existing Tools IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Mark Sanderson;
1998	10	Modeling Time From A Conceptual Perspective IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Stefano Spaccapietra; Christine Parent; Esteban Zimanyi;
1998	11	An Automatic Technique For Detecting Type Conflicts In Database Schemes IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Luigi Palopoli; Domenico Saccá; Domenico Ursino;
1998	12	Static And Dynamic Information Organization With Star Clusters IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Javed Aslam; Katya Pelekhov; Daniela Rus;
1998	13	A Hierarchical Approach To The Automatic Categorization Of Medical Documents IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Luciano R. S. de Lima; Alberto H. F. Laender; Berthier A. Ribeiro-Neto;
1998	14	Clustering And Singular Value Decomposition For Approximate Indexing In High Dimensional Spaces IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Alexander Thomasian; Vittorio Castelli; Chung-Sheng Li;
1998	15	Document Classification Using Multiword Features IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Ron Papka; James Allan;
1997	1	Learning Belief Networks From Data: An Information Theory Based Approach IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Jie Cheng; David A. Bell; Weiru Liu;
1997	2	Mining Fuzzy Association Rules IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Keith C. C. Chan; Wai-Ho Au;
1997	3	Matching And Indexing Sequences Of Different Lengths IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Tolga Bozkaya; Nasser Yazdani; Meral Özsoyoğlu;
1997	4	Video Keyframe Extraction And Filtering: A Keyframe Is Not A Keyframe To Everyone IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Nevenka Dimitrova; Thomas McGee; Herman Elenbaas;
1997	5	Block Addressing Indices For Approximate Text Retrieval IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Ricardo Baeza-Yates; Gonzalo Navarro;
1997	6	Pharos: A Scalable Distributed Architecture For Locating Heterogeneous Information Sources IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	R. Dolin; D. Agrawal; A. El Abbadi; L. Dillon;
1997	7	Applications Of Approximate Word Matching In Information Retrieval IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	James C. French; Allison L. Powell; Eric Schulman;
1997	8	Generating Association Rules From Semi-structured Documents Using An Extended Concept Hierarchy IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Lisa Singh; Peter Scheuermann; Bin Chen;
1997	9	Improving Relevance Feedback In The Vector Space Model IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Carol Lundquist; David A. Grossman; Ophir Frieder;
1997	10	Mining Association Rules With Adjustable Accuracy IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Jong Soo Park; Philip S. Yu; Ming-Syan Chen;
1997	11	A Spatial Match Representation Scheme For Indexing And Querying In Iconic Image Databases IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Jae-Woo Chang; Yeon-Jung Kim; Ki-Jin Chang;
1997	12	A Corpus Analysis Approach For Automatic Query Expansion IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Susan Gauch; Jianying Wang;
1997	13	A Framework For The Management Of Past Experiences With Time-extended Situations IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Michel Jaczynski;
1997	14	A Framework For Global Optimization Of Aggregate Queries IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Chengwen Liu; Andrei Ursu;
1997	15	Evaluating Document Retrieval In Patent Database: A Preliminary Report IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Mark Osborn; Tomek Strzalkowski; Mihnea Marinescu;
1996	1	A Data Model For Supporting On-line Analytical Processing IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Chang Li; X. Sean Wang;
1996	2	Hierarchical Optimization Of Optimal Path Finding For Transportation Applications IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Ning Jing; Yun-Wu Huang; Elke A. Rundensteiner;
1996	3	Efficient Retrieval For Browsing Large Image Databases IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Daniel Wu; Ambuj Singh; Divyakant Agrawal; Amr El Abbadi; Terence R. Smith;
1996	4	Effective Graph Clustering For Path Queries In Digital Map Databases IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Yun-Wu Huang; Ning Jing; Elke A. Rundensteiner;
1996	5	Processing Queries For First-few Answers IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Roberto J. Bayardo; Daniel P. Miranker;
1996	6	Dynamic Query Optimization On A Distributed Object Management Platform IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Fatma Ozcan; Sena Nural; Pinar Koksal; Cem Evrendilek; Asuman Dogac;
1996	7	Information Agents For Automated Browsing IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Chanda Dharap; Martin Freeman;
1996	8	Object-oriented And Database Concepts For The Design Of Networked Information Retrieval Systems IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Norbert Fuhr;
1996	9	An Object-oriented Approach To Multi-level Association Rule Mining IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Scott Fortin; Ling Liu;
1996	10	Processing OODB Queries By O-Algebra IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Jie Lin; Z. Meral Ozsoyoglu;
1996	11	CROSS-DB: A Feature-extended Multidimensional Data Model For Statistical And Scientific Databases IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Wolfgang Lehner; Thomas Ruf; Michael Teschke;
1996	12	Modeling A Vocabulary In An Object-oriented Database IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Li-min Liu; Michael Halper; Huanying Gu; James Geller; Yehoshua Perl;
1996	13	Background For Association Rules And Cost Estimate Of Selected Mining Algorithms IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Jia Liang Han; Ashley W. Plank;
1996	14	Indexing Values Of Time Sequences IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Ling Lin; Tore Risch; Martin Sköld; Dushan Badal;
1996	15	Performance Evaluation Of G-tree And Its Application In Fuzzy Databases IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	CHENGWEN LIU et. al.
1995	1	Research Problems In Data Warehousing IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Jennifer Widom;
1995	2	Efficient Parallel Data Mining For Association Rules IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Jong Soo Park; Ming-Syan Chen; Philip S. Yu;
1995	3	Using Speculation To Reduce Server Load And Service Time On The WWW IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Azer Bestavros;
1995	4	Mining Knowledge At Multiple Concept Levels IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Jiawei Han;
1995	5	The Role Of Domain Knowledge In Data Mining IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Sarabjot S. Anand; David A. Bell; John G. Hughes;
1995	6	PERF Join: An Alternative To Two-way Semijoin And Bloomjoin IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Zhe Li; Kenneth A. Ross;
1995	7	Experimental Evaluation Of Dynamic Data Allocation Strategies In A Distributed Database With Changing Workloads IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Anna Brunstrom; Scott T. Leutenegger; Rahul Simha;
1995	8	Automatic Thesaurus Construction Using Bayesian Networks IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Young C. Park; Young S. Han; Key-Sun Choi;
1995	9	The Distributed Interoperable Object Model And Its Application To Large-scale Interoperable Database Systems IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Ling Liu; Calton Pu;
1995	10	A Declarative Formalization Of Knowledge Translation IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Saša Buvač; Richard Fikes;
1995	11	Data Broadcasting Strategies Over Multiple Unreliable Wireless Channels IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Hong V. Leong; Antonio Si;
1995	12	An Extensible Knowledge Base Management System For Supporting Rule-based Interoperability Among Heterogeneous Systems IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Stanley Y. W. Su; Herman Lam; Javier Arroyo-Figueroa; Tsae-Feng Yu; Zhidong Yang;
1995	13	On The Update Of Term Weights In Dynamic Information Retrieval Systems IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Charles L. Viles; James C. French;
1995	14	An Efficient And Reliable Reservation Algorithm For Mobile Transactions IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Ahmed Elmagarmid; Jin Jing; Omran Bukhres;
1995	15	Electronic Catalogs: A Technology Overview And Survey Results IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Arie Segev; Dadong Wan; Caroline Beam;
1994	1	KQML As An Agent Communication Language IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes the design of and experimentation with the Knowledge Query and Manipulation Language (KQML), a new language and protocol for exchanging information and knowledge.	Tim Finin; Richard Fritzson; Don McKay; Robin McEntire;
1994	2	Finding Interesting Rules From Large Sets Of Discovered Association Rules IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We show how a simple formalism of rule templates makes it possible to easily describe the structure of interesting rules.	Mika Klemettinen; Heikki Mannila; Pirjo Ronkainen; Hannu Toivonen; A. Inkeri Verkamo;
1994	3	Context Interchange: Overcoming The Challenges Of Large-scale Interoperable Database Systems In A Dynamic Environment IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Research in database interoperability has primarily focused on circumventing schematic and semantic incompatibility arising from autonomy of the underlying databases.	Cheng Hian Goh; Stuart E. Madnick; Michael D. Siegel;
1994	4	Building Information Systems For Mobile Environments IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we report on the development of such a system.	Evaggelia Pitoura; Bharat Bhargava;
1994	5	The EGG/YOLK Reliability Hierarchy: Semantic Data Integration Using Sorts With Prototypes IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We exploit Cui, Cohn and Randell’s Qualitative Spatial Simulation program to create the hierarchy of all possible relations between source and target EGG/YOLK types, ranked by reliability.	Fritz Lehmann; Anthony G. Cohn;
1994	6	Semantics-based Information Brokering IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We discuss an approach to information brokering in the above environment.	Vipul Kashyap; Amit Sheth;
1994	7	Intelligent Caching: Selecting, Representing, And Reusing Data In An Information Server IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents an approach to caching and addresses the issues of which information to cache, how to describe what has been cached, and how to use the cached information to answer future queries.	Yigal Arens; Craig A. Knoblock;
1994	8	On The Relationship Between Description Logic And Predicate Logic Queries IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper, aimed at a general audience that includes database researchers, considers the relationship between the expressive power of DLs and that of query languages based on Predicate Calculus.	Alex Borgida;
1994	9	A Pattern Matching Language For Spatio-temporal Databases IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a pattern matching language for spatio-temporal databases.	Tsz S. Cheng; Shashi K. Gadia;
1994	10	Hashing By Proximity To Process Duplicates In Spatial Databases IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: A novel approach for duplicate processing based on proximity of spatial objects is presented.	Walid G. Aref; Hanan Samet;
1994	11	A Classification Algorithm For Supporting Object-oriented Views IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a solution to this classification problem that accomplishes the following goals: (1) generate maximally informative, and thus comprehensible, schemas that explicitly model the subclass relationships between base and virtual classes, and (2) support efficient type resolution for shared property functions by supporting upwards inheritance for both base and virtual classes.	Elke Angelika Rundensteiner;
1994	12	TID Hash Joins IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Robert Marek; Erhard Rahm;
1994	13	Query Expansion Using Domain-adapted, Weighted Thesaurus In An Extended Boolean Model IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we address there important issues with query expansion using a thesaurus; how to give weights to the terms in expanded queries, how to select additional search terms in the thesaurus, and how to enrich the terms in the manual thesaurus (namely, thesaurus reconstruction).	Oh-Woog Kwon; Myoung-Cheol Kim; Key-Sun Choi;
1994	14	Integrating A Part Relationship Into An Open OODB System Using Metaclasses IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we examine the problem of integrating such a construct into an OODB system.	Michael Halper; James Geller; Yehoshua Perl; Wolfgang Klas;
1994	15	Facilitating Transformations In A Human Genome Project Database IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We illustrate these problems in the context of the Philadelphia Genome Center for Human Chromosome 22, and describe a new approach to a solution for these problems, by means of a deductive language for expressing database transformations and constraints.	S. B. Davidson; A. S. Kosky; B. Eckman;
1993	1	On Packing R-trees IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Ibrahim Kamel; Christos Faloutsos;
1993	2	Word Sense Disambiguation For Free-text Indexing Using A Massive Semantic Network IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Michael Sussna;
1993	3	Experiments On Multistrategy Learning By Meta-learning IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Philip K. Chan; Salvatore J. Stolfo;
1993	4	Termination And Confluence Of Rule Execution IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Leonie van der Voort; Arno Siebes;
1993	5	Multiple Query Optimization With Depth-First Branch-and-Bound And Dynamic Query Ordering IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Ahmet Cosar; Ee-Peng Lim; Jaideep Srivastava;
1993	6	Reformulating Query Plans For Multidatabase Systems IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Chun-Nan Hsu; Craig A. Knoblock;
1993	7	Data Mining Of Multidimensional Remotely Sensed Images IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Robert F. Cromp; William J. Campbell;
1993	8	Translating Description Logics To Information Server Queries IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Premkumar T. Devanbu;
1993	9	Automated Cataloging And Analysis Of Sky Survey Image Databases: The SKICAT System IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Usama M. Fayyad; Nicholas Weir; S. Djorgovski;
1993	10	Query Optimization And Processing In Federated Database Systems IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Ee-Peng Lim; Jaideep Srivastava;
1993	11	Automatic Generation Of Graphical User Interfaces For Interactive Database Applications IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Arturo Pizano; Yukari Shirota; Atsushi Iizawa;
1993	12	Adaptive Query Optimization In A Deductive Database System IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Marcia A. Derr;
1993	13	Towards The Design And Development Of A New Architecture For Geographic Information Systems IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	Niki Pissinou; Kia Makki; E. K. Park;
1993	14	An Information Model For Genome Map Representation And Assembly IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	A. J. Lee; E. A. Rendensteiner; S. Thomas; S. Lafortune;
1993	15	An Object-oriented Model For Image Information Representation IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. …	James Griffioen; Rajiv Mehrotra; Rajendra Yavatkar;