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Advances in Information Retrieval Theory

Second International Conference on the Theory of Information Retrieval, ICTIR 2009 Cambridge, UK, September 10-12, 2009 Proceedings

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Leif Azzopardi

    1. Department of Computing Science, Sir Alwyn Williams Building, Lilybank Gardens, University of Glasgow, Glasgow, Scotland, UK

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  2. Gabriella Kazai

    1. Microsoft Research Ltd, Cambridge, UK

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  3. Stephen Robertson

    1. Microsoft Research Ltd, Cambridge, UK

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  4. Stefan Rüger

    1. Knowledge Media Institute,, The Open University, Milton Keynes, UK

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  5. Milad Shokouhi

    1. Microsoft Research Ltd, Cambridge, United Kingdom

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  6. Dawei Song

    1. School of Computing, The Robert Gordon University, Aberdeen, UK

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  7. Emine Yilmaz

    1. Microsoft Research Ltd, Cambridge, United Kingdom

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5766)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: ICTIR 2009.

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Table of contents (44 papers)

  1. Front Matter

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  3. Regular Papers

    1. Efficiency

      1. Probably Approximately Correct Search
        • Ingemar J. Cox, Ruoxun Fu, Lars Kai Hansen
        Pages 2-16
      2. PageRank: Splitting Homogeneous Singular Linear Systems of Index One
        • Douglas V. de Jager, Jeremy T. Bradley
        Pages 17-28
      3. Training Data Cleaning for Text Classification
        • Andrea Esuli, Fabrizio Sebastiani
        Pages 29-41

    3. Query and Term Models

      1. <b>A Belief Model of Query Difficulty That Uses Subjective Logic</b>
        • Christina Lioma, Roi Blanco, Raquel Mochales Palau, Marie-Francine Moens
        Pages 92-103
      2. <i>“A term is known by the company it keeps”</i>: On Selecting a Good Expansion Set in Pseudo-Relevance Feedback
        • Raghavendra Udupa, Abhijit Bhole, Pushpak Bhattacharyya
        Pages 104-115
      3. An Effective Approach to Verbose Queries Using a Limited Dependencies Language Model
        • Eduard Hoenkamp, Peter Bruza, Dawei Song, Qiang Huang
        Pages 116-127
      4. Time-Sensitive Language Modelling for Online Term Recurrence Prediction
        • Dell Zhang, Jinsong Lu, Robert Mao, Jian-Yun Nie
        Pages 128-138

    4. Evaluation

      1. Score Distributions in Information Retrieval
        • Avi Arampatzis, Stephen Robertson, Jaap Kamps
        Pages 139-151
      2. Modeling the Score Distributions of Relevant and Non-relevant Documents
        • Evangelos Kanoulas, Virgil Pavlu, Keshi Dai, Javed A. Aslam
        Pages 152-163
      3. Modeling Expected Utility of Multi-session Information Distillation
        • Yiming Yang, Abhimanyu Lad
        Pages 164-175
      4. Specificity Aboutness in XML Retrieval
        • Tobias Blanke, Mounia Lalmas
        Pages 176-187

    5. Novelty and Diversity

      1. An Effectiveness Measure for Ambiguous and Underspecified Queries
        • Charles L. A. Clarke, Maheedhar Kolla, Olga Vechtomova
        Pages 188-199
      2. An Analysis of NP-Completeness in Novelty and Diversity Ranking
        • Ben Carterette
        Pages 200-211
      3. From “Identical” to “Similar”: Fusing Retrieved Lists Based on Inter-document Similarities
        • Anna Khudyak Kozorovitzky, Oren Kurland
        Pages 212-223
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About this book

This book constitutes the refereed proceedings of the Second International Conference on the Theory of Information Retrieval, ICTIR 2009, held in Cambridge, UK, in September 2009. The 18 revised full papers, 14 short papers, and 11 posters presented together with one invited talk were carefully reviewed and selected from 82 submissions. The papers are categorized into four main themes: novel IR models, evaluation, efficiency, and new perspectives in IR. Twenty-one papers fall into the general theme of novel IR models, ranging from various retrieval models, query and term selection models, Web IR models, developments in novelty and diversity, to the modeling of user aspects. There are four papers on new evaluation methodologies, e.g., modeling score distributions, evaluation over sessions, and an axiomatic framework for XML retrieval evaluation. Three papers focus on the issue of efficiency and offer solutions to improve the tractability of PageRank, data cleansing practices for training classifiers, and approximate search for distributed IR. Finally, four papers look into new perspectives of IR and shed light on some new emerging areas of interest, such as the application and adoption of quantum theory in IR.

Editors and Affiliations

  • Department of Computing Science, Sir Alwyn Williams Building, Lilybank Gardens, University of Glasgow, Glasgow, Scotland, UK

    Leif Azzopardi

  • Microsoft Research Ltd, Cambridge, UK

    Gabriella Kazai, Stephen Robertson

  • Knowledge Media Institute,, The Open University, Milton Keynes, UK

    Stefan Rüger

  • Microsoft Research Ltd, Cambridge, United Kingdom

    Milad Shokouhi, Emine Yilmaz

  • School of Computing, The Robert Gordon University, Aberdeen, UK

    Dawei Song

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