Advances in Information Retrieval

1. Front Matter

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2. Progress in Information Retrieval

   1. Progress in Information Retrieval

      • Mounia Lalmas, Stefan Rüger, Theodora Tsikrika, Alexei Yavlinsky

      Pages 1-11

   2. Enterprise Search — The New Frontier?

      • David Hawking

      Pages 12-12

3. Formal Models

   1. Frequentist and Bayesian Approach to Information Retrieval

      • Giambattista Amati

      Pages 13-24

   2. Using Proportional Transportation Distances for Measuring Document Similarity

      • Xiaojun Wan, Jianwu Yang

      Pages 25-36

   3. A User-Item Relevance Model for Log-Based Collaborative Filtering

      • Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders

      Pages 37-48

4. Document and Query Representation and Text Understanding

   1. Generating Search Term Variants for Text Collections with Historic Spellings

      • Andrea Ernst-Gerlach, Norbert Fuhr

      Pages 49-60

   2. Efficient Phrase Querying with Common Phrase Index

      • Matthew Chang, Chung Keung Poon

      Pages 61-71

   3. Document Length Normalization Using Effective Level of Term Frequency in Large Collections

      • Soheila Karbasi, Mohand Boughanem

      Pages 72-83

5. Design and Evaluation

   1. Beyond the Web: Retrieval in Social Information Spaces

      • Sebastian Marius Kirsch, Melanie Gnasa, Armin B. Cremers

      Pages 84-95

   2. Evaluating Web Search Result Summaries

      • Shao Fen Liang, Siobhan Devlin, John Tait

      Pages 96-106

   3. Measuring the Complexity of a Collection of Documents

      • Vishwa Vinay, Ingemar J. Cox, Natasa Milic-Frayling, Ken Wood

      Pages 107-118

6. Topic Identification and News Retrieval

   1. Sentence Retrieval with LSI and Topic Identification

      • David Parapar, Álvaro Barreiro

      Pages 119-130

   2. Ranking Web News Via Homepage Visual Layout and Cross-Site Voting

      • Jinyi Yao, Jue Wang, Zhiwei Li, Mingjing Li, Wei-Ying Ma

      Pages 131-142

   3. Clustering-Based Searching and Navigation in an Online News Source

      • Simón C. Smith, M. Andrea Rodríguez

      Pages 143-154

7. Clustering and Classification

   1. Mobile Clustering Engine

      • Claudio Carpineto, Andrea Della Pietra, Stefano Mizzaro, Giovanni Romano

      Pages 155-166

   2. Improving Quality of Search Results Clustering with Approximate Matrix Factorisations

      • Stanislaw Osinski

      Pages 167-178

   3. Adapting the Naive Bayes Classifier to Rank Procedural Texts

      • Ling Yin, Richard Power

      Pages 179-190

8. Refinement and Feedback

   1. The Effects of Relevance Feedback Quality and Quantity in Interactive Relevance Feedback: A Simulation Based on User Modeling

      • Heikki Keskustalo, Kalervo Järvelin, Ari Pirkola

      Pages 191-204

   2. Using Query Profiles for Clarification

      • Henning Rode, Djoerd Hiemstra

      Pages 205-216

th These proceedings contain the refereed papers and posters presented at the 28 Annual European Conference on Information Retrieval (ECIR 2006), which was held at Imperial College London in South Kensington between April 10 and 12, 2006. ECIR is the annual conference of the British Computer Society’s Inf- mation Retrieval Specialist Group. The event started its life as a colloquium in 1978 and was held in the UK each year until 1998, when the event took place in Grenoble, France. Since then the venue has alternated between the UK and Continental Europe. In the last decade ECIR has grown to become the major Europeanforumforthediscussionofresearchinthe?eldofinformationretrieval. ECIR 2006 received 177 paper and 73 poster submissions, largely from the UK (18%) and Continental Europe (50%), but we had many sub- missions from furthera?eldincludingAmerica(7%),Asia(21%),Middle EastandAfrica(2%), and Australasia (2%). In total 37 papers and 28 posters were accepted, and two papers were converted to posters. All contributions were reviewed by at least three reviewers in a double anonymous process and then ranked during a ProgrammeCommittee meeting with respectto scienti?c quality andoriginality. It is a good and healthy sign for information retrieval in general, and ECIR in particular, that the submission rate has more than doubled over the past three years. The downside, of course, is that many high-quality submissions had to be rejected owing to a limited capacity of the conference.

• Multimedia
• Navigation
• Performance
• Web que
• classification
• clustering
• complexity
• genomic IR
• image retrieval
• information extraction
• machine learning
• multimedia retrieval
• organization
• semantics
• similarity search

• Queen Mary, University of London, London, UK

  Mounia Lalmas

• Department of Information Science, City University, London, UK

  Andy MacFarlane

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

  Stefan Rüger

• Queen Mary University of London, UK

  Anastasios Tombros

• CWI, Amsterdam, The Netherlands

  Theodora Tsikrika

• Department of Computing, Imperial College London, London, UK

  Alexei Yavlinsky

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