Information Retrieval Technology [E-Book] : 8th Asia Information Retrieval Societies Conference, AIRS 2012, Tianjin, China, December 17-19, 2012. Proceedings / edited by Yuexian Hou, Jian-Yun Nie, Le Sun, Bo Wang, Peng Zhang.
Hou, Yuexian.
Nie, Jian-Yun. / Sun, Le. / Wang, Bo. / Zhang, Peng.
Berlin, Heidelberg : Springer, 2012
XX, 540 p. 160 illus. digital.
Lecture notes in computer science ; 7675
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Table of Contents:
  • 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.