Advances in Information Retrieval

1. Front Matter

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2. Invited Presentations

   1. Query Evolution

      • W. Bruce Croft

      Pages 1-1

   2. Searching User Generated Content: What’s Next?

      • Maarten de Rijke

      Pages 2-2

   3. Upcoming Industrial Needs for Search

      • Gregory Grefenstette

      Pages 3-3

3. Retrieval Model I

   1. Mean-Variance Analysis: A New Document Ranking Theory in Information Retrieval

      • Jun Wang

      Pages 4-16

   2. Risk-Aware Information Retrieval

      • Jianhan Zhu, Jun Wang, Michael Taylor, Ingemar J. Cox

      Pages 17-28

   3. A Comparative Study of Utilizing Topic Models for Information Retrieval

      • Xing Yi, James Allan

      Pages 29-41

4. Collaborative IR/Filtering

   1. Synchronous Collaborative Information Retrieval: Techniques and Evaluation

      • Colum Foley, Alan F. Smeaton

      Pages 42-53

   2. Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering

      • Yashar Moshfeghi, Deepak Agarwal, Benjamin Piwowarski, Joemon M. Jose

      Pages 54-65

   3. Revisiting IR Techniques for Collaborative Search Strategies

      • Hideo Joho, David Hannah, Joemon M. Jose

      Pages 66-77

5. Learning

   1. Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve

      • Pinar Donmez, Jaime G. Carbonell

      Pages 78-89

   2. Regression Rank: Learning to Meet the Opportunity of Descriptive Queries

      • Matthew Lease, James Allan, W. Bruce Croft

      Pages 90-101

   3. Active Learning Strategies for Multi-Label Text Classification

      • Andrea Esuli, Fabrizio Sebastiani

      Pages 102-113

   4. Joint Ranking for Multilingual Web Search

      • Wei Gao, Cheng Niu, Ming Zhou, Kam-Fai Wong

      Pages 114-125

6. Multimedia - Metadata

   1. Diversity, Assortment, Dissimilarity, Variety: A Study of Diversity Measures Using Low Level Features for Video Retrieval

      • Martin Halvey, P. Punitha, David Hannah, Robert Villa, Frank Hopfgartner, Anuj Goyal et al.

      Pages 126-137

   2. Bayesian Mixture Hierarchies for Automatic Image Annotation

      • Vassilios Stathopoulos, Joemon M. Jose

      Pages 138-149

   3. XML Multimedia Retrieval: From Relevant Textual Information to Relevant Multimedia Fragments

      • Mouna Torjmen, Karen Pinel-Sauvagnat, Mohand Boughanem

      Pages 150-161

   4. Effectively Searching Maps in Web Documents

      • Qingzhao Tan, Prasenjit Mitra, C. Lee Giles

      Pages 162-176

7. Expert Search - Advertising

   1. Enhancing Expert Finding Using Organizational Hierarchies

      • Maryam Karimzadehgan, Ryen W. White, Matthew Richardson

      Pages 177-188

   2. A Vector Space Model for Ranking Entities and Its Application to Expert Search

      • Gianluca Demartini, Julien Gaugaz, Wolfgang Nejdl

      Pages 189-201

This book constitutes the refereed proceedings of the 30th annual European Conference on Information Retrieval Research, ECIR 2009, held in Toulouse, France in April 2009. The 42 revised full papers and 18 revised short papers presented together with the abstracts of 3 invited lectures and 25 poster papers were carefully reviewed and selected from 188 submissions. The papers are organized in topical sections on retrieval model, collaborative IR / filtering, learning, multimedia - metadata, expert search - advertising, evaluation, opinion detection, web IR, representation, clustering / categorization as well as distributed IR.

• Clustering
• IR techniques
• autocompletion
• cross-language retrieval
• filtering
• geotagging
• image annotation
• learning
• multimedia
• phishing
• ranking
• searching maps
• semantic web
• spatial search
• web search

• Université de Toulouse - IRIT,, Toulouse Cedex 4,, France

  Mohand Boughanem, Josiane Mothe, Chantal Soule-Dupuy

• Laboratoire d’Informatique de Grenoble, BP 53,, Université Joseph Fourier,, Grenoble Cedex 9,, France

  Catherine Berrut

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