Information Retrieval Technology

Session 1: IR Models.- Exploring and Exploiting Proximity Statistic for Information Retrieval Model.- A Category-integrated Language Model for Question Retrieval in Community Question Answering.- Session 2: Evaluation and User Studies.- The Reusability of a Diversified Search Test Collection.- One Click One Revisited: Enhancing Evaluation Based on Information Units.- A Comparison of Action Transitions in Individual and Collaborative Exploratory Web Search.- Session 3: NLP for IR.- Query-Oriented Keyphrase Extraction.- Using Lexical and Thematic Knowledge for Name Disambiguation.- Sells Out or Piles Up? A Sentiment Autoregressive Model for Predicting Sales Performance.- Session 4: Machine Learning and Data Mining.- Are Human-Input Seeds Good Enough for Entity Set Expansion? Seeds Rewriting by Leveraging Wikipedia Semantic Knowledge.- Combining Modifications to Multinomial Naive Bayes for Text Classification.- Organizing Information on the Web through Agreement-Conflict Relation Classification.- Session 5: Social Media.- Exploiting Twitter for Spiking Query Classification.- Where Are You Settling Down: Geo-locating Twitter Users Based on Tweets and Social Networks.- Detecting Informative Messages Based on User History in Twitter.- Session 6: IR Applications.- A Study on Potential Head Advertisers in Sponsored Search.- Feature Transformation Method Enhanced Vandalism Detection in Wikipedia.- PLIDMiner: A Quality Based Approach for Researcher’s Homepage Discovery.- Session 7: Multimedia IR and Indexing.- Exploiting and Exploring Hierarchical Structure in Music Recommendation.- Enhancing Music Information Retrieval by Incorporating Image-Based
Local Features.- Yet Another Sorting-Based Solution to the Reassignment of Document Identifiers.- Session 8: Collaborative and Federated Search.- What Snippets Say about Pages in Federated Web Search.- CoFox: A Synchronous Collaborative Browser.- Poster Session.- FISER: An Effective Method for Detecting Interactions between Topic Persons.- Cross-Lingual Knowledge Discovery: Chinese-to-English Article Linking in Wikipedia.- Unified Recommendation and Search in E-Commerce.- Identifying Local Questions in Community Question Answering.- Improving Content-Based Image Retrieval by Identifying Least and Most Correlated Visual Words.- Topical Relevance Model.- Adaptive Data Fusion Methods for Dynamic Search Environments.- NMiner: A System for Finding Related Entities by Mining a Bimodal Network.- Combining Signals for Cross-Lingual Relevance Feedback.- A Conceptual Model for Retrieval of Chinese Frequently Asked
Questions in Healthcare.- LDA-Based Topic Formation and Topic-Sentence Reinforcement for Graph-Based Multi-document Summarization.- Query Reformulation Based on User Habits for Query-by-Humming Systems.- Query Expansion Based on User Quality in Folksonomy.- Semantically Enriched Clustered User Interest Profile Built from Users’ Tweets.- Adaptive Weighting Approach to Context-Sensitive Retrieval Model.- Effective Keyword-Based XML Retrieval Using the Data-Centric
and Document-Centric Features.- Unsupervised Extraction of Popular Product Attributes from Web Sites.- Aggregating Opinions on Hot Topics from Microblog Responses.- Topic Sequence Kernel.- Opening Machine Translation Black Box for Cross-Language Information Retrieval.- Topic Based Author Ranking with Full-Text Citation Analysis.- Vertical Classification of Web Pages for Structured Data Extraction.- Grid-Based Interaction for Exploratory Search.- Analyzing the Spatiotemporal Effects on Detection of Rain Event Duration.- Outpatient Department Recommendation Based on Medical Summaries.- Actively Mining Search Logs for Diverse Tags.