Advances in Information Retrieval Theory

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

  • Leif Azzopardi
  • Gabriella Kazai
  • Stephen Robertson
  • Stefan Rüger
  • Milad Shokouhi
  • Dawei Song
  • Emine Yilmaz
Conference proceedings ICTIR 2009

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

Table of contents

  1. Front Matter
  2. Invited Talk

  3. Regular Papers

    1. Efficiency

      1. Ingemar J. Cox, Ruoxun Fu, Lars Kai Hansen
        Pages 2-16
      2. Douglas V. de Jager, Jeremy T. Bradley
        Pages 17-28
      3. Andrea Esuli, Fabrizio Sebastiani
        Pages 29-41
    2. Retrieval Models

    3. Query and Term Models

      1. Christina Lioma, Roi Blanco, Raquel Mochales Palau, Marie-Francine Moens
        Pages 92-103
      2. Eduard Hoenkamp, Peter Bruza, Dawei Song, Qiang Huang
        Pages 116-127
      3. Dell Zhang, Jinsong Lu, Robert Mao, Jian-Yun Nie
        Pages 128-138
    4. Evaluation

      1. Avi Arampatzis, Stephen Robertson, Jaap Kamps
        Pages 139-151
      2. Evangelos Kanoulas, Virgil Pavlu, Keshi Dai, Javed A. Aslam
        Pages 152-163
      3. Tobias Blanke, Mounia Lalmas
        Pages 176-187
    5. Novelty and Diversity

About these proceedings


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.


classification clustering collaborative filtering cross-language retrieval data cleansing distributed IR document models document retrieval feature extraction formal concept analysis graph theory information retrieval interactive IR knowledg modeling

Editors and affiliations

  • Leif Azzopardi
    • 1
  • Gabriella Kazai
    • 2
  • Stephen Robertson
    • 2
  • Stefan Rüger
    • 3
  • Milad Shokouhi
    • 4
  • Dawei Song
    • 5
  • Emine Yilmaz
    • 4
  1. 1.Department of Computing Science, Sir Alwyn Williams Building, Lilybank GardensUniversity of GlasgowGlasgowScotland, UK
  2. 2.Microsoft Research LtdCambridgeUK
  3. 3.Knowledge Media Institute,The Open UniversityMilton KeynesUK
  4. 4.Microsoft Research LtdCambridgeUnited Kingdom
  5. 5.School of ComputingThe Robert Gordon UniversityAberdeenUK

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-04416-8
  • Online ISBN 978-3-642-04417-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book