Information Retrieval Technology

1. Front Matter

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2. IR Theory, Modeling, and Query Processing

   1. Metrics and Search Diversification

      1. Seven Numeric Properties of Effectiveness Metrics

         • Alistair Moffat

         Pages 1-12

      2. How Intuitive Are Diversified Search Metrics? Concordance Test Results for the Diversity U-Measures

         • Tetsuya Sakai

         Pages 13-24

      3. Estimating Intent Types for Search Result Diversification

         • Kosetsu Tsukuda, Tetsuya Sakai, Zhicheng Dou, Katsumi Tanaka

         Pages 25-37

      4. On Labelling Intent Types for Evaluating Search Result Diversification

         • Tetsuya Sakai, Young-In Song

         Pages 38-49

      5. Snippet Generation by Identifying Attribute Associated Information

         • Yoko Tanaka, Yoshihiko Suhara, Nobuaki Hiroshima, Hiroyuki Toda, Seiji Susaki

         Pages 50-61

   2. Modeling, Ranking, and Query Processing

      1. Hyper-geometric Model for Information Retrieval Revisited

         • Sha Lu, Ben He, Jungang Xu

         Pages 62-73

      2. A Nonparametric N-Gram Topic Model with Interpretable Latent Topics

         • Shoaib Jameel, Wai Lam

         Pages 74-85

      3. Extracting Categorical Topics from Tweets Using Topic Model

         • Lei Zheng, Kai Han

         Pages 86-96

      4. Topic Assisted Fusion to Re-rank Texts for Multi-faceted Information Retrieval

         • Rajendra Prasath, Aidan Duane, Philip O’Reilly

         Pages 97-108

      5. A Collaborative Document Ranking Model for a Multi-faceted Search

         • Laure Soulier, Lynda Tamine, Wahiba Bahsoun

         Pages 109-120

      6. Using Dempster-Shafer’s Evidence Theory for Query Expansion Based on Freebase Knowledge

         • Dazhao Pan, Peng Zhang, Jingfei Li, Dawei Song, Ji-Rong Wen, Yuexian Hou et al.

         Pages 121-132

      7. Optimization of an Integrated Model for Automatic Reduction and Expansion of Long Queries

         • Dawei Song, Yanjie Shi, Peng Zhang, Yuexian Hou, Bin Hu, Yuan Jia et al.

         Pages 133-144

3. Clustering, Classification, and Detection

   1. Clustering

      1. Clustering Short-Text Using Non-negative Matrix Factorization of Hadamard Product of Similarities

         • Krutika Verma, Mukesh K. Jadon, Arun K. Pujari

         Pages 145-155

      2. Various Document Clustering Tasks Using Word Lists

         • Yaakov HaCohen-Kerner, Orr Margaliot

         Pages 156-169

      3. Clustering with Error-Estimation for Monitoring Reputation of Companies on Twitter

         • Muhammad Atif Qureshi, Colm O’Riordan, Gabriella Pasi

         Pages 170-180

      4. Weighted Cumulative Voting-Based Aggregation Algorithm for Combining Multiple Clusterings of Chemical Structures

         • Faisal Saeed, Naomie Salim

         Pages 181-190

   2. Classification and Detection

      1. Learning to Classify Subjective Sentences from Multiple Domains Using Extended Subjectivity Lexicon and Subjective Predicates

         • Sylvester Olubolu Orimaye

         Pages 191-202

      2. Duplicate News Story Detection Revisited

         • Omar Alonso, Dennis Fetterly, Mark Manasse

         Pages 203-214

      3. A Composite Kernel Approach for Detecting Interactive Segments in Chinese Topic Documents

         • Yung-Chun Chang, Chien Chin Chen, Wen-Lian Hsu

         Pages 215-226

This book constitutes the refereed proceedings of the 9th Information Retrieval Societies Conference, AIRS 2013, held in Singapore, in December 2013. The 27 full papers and 18 poster presentations included in this volume were carefully reviewed and selected from 109 submissions. They are organized in the following topical sections: IR theory, modeling and query processing; clustering, classification and detection; natural language processing for IR; social networks, user-centered studies and personalization and applications.

• metrics
• ranking
• search diversification
• semantics
• social web

• Institute for Infocomm Research, Human Language Technology, Singapore

  Rafael E. Banchs, Min Zhang, Sheng Gao, Jun Lang

• Yahoo Labs, Barcelona, Spain

  Fabrizio Silvestri

• Microsoft Research Asia, Beijing, China

  Tie-Yan Liu

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