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.

Klappentext

This book constitutes the refereed proceedings of the 28th European Conference on Information Retrieval Research, ECIR 2006, held in London, April 2006. The 37 revised full papers and 28 revised poster papers presented are organized in topical sections on formal models, document and query representation and text understanding, topic identification and news retrieval, clustering and classification, refinement and feedback, performance and peer-to-peer networks, Web search, cross-language retrieval, genomic IR, and much more.

Inhalt
Progress in Information Retrieval.- Progress in Information Retrieval.- Enterprise Search The New Frontier?.- Formal Models.- Frequentist and Bayesian Approach to Information Retrieval.- Using Proportional Transportation Distances for Measuring Document Similarity.- A User-Item Relevance Model for Log-Based Collaborative Filtering.- Document and Query Representation and Text Understanding.- Generating Search Term Variants for Text Collections with Historic Spellings.- Efficient Phrase Querying with Common Phrase Index.- Document Length Normalization Using Effective Level of Term Frequency in Large Collections.- Design and Evaluation.- Beyond the Web: Retrieval in Social Information Spaces.- Evaluating Web Search Result Summaries.- Measuring the Complexity of a Collection of Documents.- Topic Identification and News Retrieval.- Sentence Retrieval with LSI and Topic Identification.- Ranking Web News Via Homepage Visual Layout and Cross-Site Voting.- Clustering-Based Searching and Navigation in an Online News Source.- Clustering and Classification.- Mobile Clustering Engine.- Improving Quality of Search Results Clustering with Approximate Matrix Factorisations.- Adapting the Naive Bayes Classifier to Rank Procedural Texts.- Refinement and Feedback.- The Effects of Relevance Feedback Quality and Quantity in Interactive Relevance Feedback: A Simulation Based on User Modeling.- Using Query Profiles for Clarification.- Lexical Entailment for Information Retrieval.- Performance and Peer-to-Peer Networks.- A Hybrid Approach to Index Maintenance in Dynamic Text Retrieval Systems.- Efficient Parallel Computation of PageRank.- Comparing Different Architectures for Query Routing in Peer-to-Peer Networks.- Automatic Document Organization in a P2P Environment.- Web Search.-Exploring URL Hit Priors for Web Search.- A Study of Blog Search.- A Comparative Study of the Effectiveness of Search Result Presentation on the Web.- Structure/XML.- Bricks: The Building Blocks to Tackle Query Formulation in Structured Document Retrieval.- Structural Feedback for Keyword-Based XML Retrieval.- Machine Learning Ranking for Structured Information Retrieval.- Generating and Retrieving Text Segments for Focused Access to Scientific Documents.- Multimedia.- Browsing Personal Images Using Episodic Memory (Time + Location).- An Information Retrieval System for Motion Capture Data.- Can a Workspace Help to Overcome the Query Formulation Problem in Image Retrieval?.- Cross-Language Retrieval.- A Fingerprinting Technique for Evaluating Semantics Based Indexing.- A Cross-Language Approach to Historic Document Retrieval.- Automatic Acquisition of ChineseEnglish Parallel Corpus from the Web.- Genomic IR.- Fast Discovery of Similar Sequences in Large Genomic Collections.- Using Concept-Based Indexing to Improve Language Modeling Approach to Genomic IR.- Posters.- The Effects on Topic Familiarity on Online Search Behaviour and Use of Relevance Criteria.- PERC: A Personal Email Classifier.- Influence Diagrams for Contextual Information Retrieval.- Morphological Variation of Arabic Queries.- Combining Short and Long Term Audio Features for TV Sports Highlight Detection.- Object-Based Access to TV Rushes Video.- An Efficient Computation of the Multiple-Bernoulli Language Model.- Title and Snippet Based Result Re-ranking in Collaborative Web Search.- A Classification of IR Effectiveness Metrics.- Experiments on Average Distance Measure.- Phrase Clustering Without Document Context.- Rapid Development of Web-Based Monolingual Question Answering Systems.- FilteringObfuscated Email Spam by means of Phonetic String Matching.- Sprinkling: Supervised Latent Semantic Indexing.- Web-Based Multiple Choice Question Answering for English and Arabic Questions.- Authoritative Re-ranking of Search Results.- Readability Applied to Information Retrieval.- Automatic Determination of Feature Weights for Multi-feature CBIR.- Towards Automatic Retrieval of Album Covers.- Clustering Sentences for Discovering Events in News Articles.- Specificity Helps Text Classification.- A Declarative DB-Powered Approach to IR.- Judging the Spatial Relevance of Documents for GIR.- Probabilistic Score Normalization for Rank Aggregation.- Learning Links Between a User's Calendar and Information Needs.- Supporting Relevance Feedback in Video Search.- Intrinsic Plagiarism Detection.- Investigating Biometric Response for Information Retrieval Applications.- Relevance Feedback Using Weight Propagation.- Context-Specific Frequencies and Discriminativeness for the Retrieval of Structured Documents.