Advances in information retrieval theory : Second International Conference on the Theory of Information Retrieval, ICTIR 2009, Cambridge, UK, September 10-12, 2009 : proceedings
معرفی کتاب «Advances in information retrieval theory : Second International Conference on the Theory of Information Retrieval, ICTIR 2009, Cambridge, UK, September 10-12, 2009 : proceedings» نوشتهٔ Peter Bruza (auth.), Leif Azzopardi, Gabriella Kazai, Stephen Robertson, Stefan Rüger, Milad Shokouhi, Dawei Song, Emine Yilmaz (eds.)، منتشرشده توسط نشر Springer-Verlag Berlin Heidelberg. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
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. Front Matter....Pages - Is There Something Quantum-Like about the Human Mental Lexicon?....Pages 1-1 Score Distributions in Information Retrieval....Pages 139-151 Modeling the Score Distributions of Relevant and Non-relevant Documents....Pages 152-163 Modeling Expected Utility of Multi-session Information Distillation....Pages 164-175 Specificity Aboutness in XML Retrieval....Pages 176-187 An Effectiveness Measure for Ambiguous and Underspecified Queries....Pages 188-199 An Analysis of NP-Completeness in Novelty and Diversity Ranking....Pages 200-211 From “Identical” to “Similar”: Fusing Retrieved Lists Based on Inter-document Similarities....Pages 212-223 Probably Approximately Correct Search....Pages 2-16 PageRank: Splitting Homogeneous Singular Linear Systems of Index One....Pages 17-28 Training Data Cleaning for Text Classification....Pages 29-41 Semi-parametric and Non-parametric Term Weighting for Information Retrieval....Pages 42-53 Bridging Language Modeling and Divergence from Randomness Models: A Log-Logistic Model for IR....Pages 54-65 Ordinal Regression Based Model for Personalized Information Retrieval....Pages 66-78 Navigating in the Dark: Modeling Uncertainty in Ad Hoc Retrieval Using Multiple Relevance Models....Pages 79-91 A Belief Model of Query Difficulty That Uses Subjective Logic ....Pages 92-103 “A term is known by the company it keeps” : On Selecting a Good Expansion Set in Pseudo-Relevance Feedback....Pages 104-115 An Effective Approach to Verbose Queries Using a Limited Dependencies Language Model....Pages 116-127 Time-Sensitive Language Modelling for Online Term Recurrence Prediction....Pages 128-138 A Quantum-Based Model for Interactive Information Retrieval....Pages 224-231 The Quantum Probability Ranking Principle for Information Retrieval....Pages 232-240 Written Texts as Statistical Mechanical Problem....Pages 241-248 What Happened to Content-Based Information Filtering?....Pages 249-256 Prior Information and the Determination of Event Spaces in Probabilistic Information Retrieval Models....Pages 257-264 Robust Word Similarity Estimation Using Perturbation Kernels....Pages 265-272 Possibilistic Similarity Estimation and Visualization....Pages 273-280 A New Measure of the Cluster Hypothesis....Pages 281-288 Explaining User Performance in Information Retrieval: Challenges to IR Evaluation....Pages 289-296 A Four-Factor User Interaction Model for Content-Based Image Retrieval....Pages 297-304 Predicting Query Performance by Query-Drift Estimation....Pages 305-312 What’s in a Link? From Document Importance to Topical Relevance....Pages 313-321 Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links....Pages 322-329 Optimizing WebPage Interest....Pages 330-337 The “Beautiful” in Information....Pages 338-341 IR Evaluation without a Common Set of Topics....Pages 342-345 An Ad Hoc Information Retrieval Perspective on PLSI through Language Model Identification....Pages 346-349 Less Is More: Maximal Marginal Relevance as a Summarisation Feature....Pages 350-353 On the Notion of “An Information Need”....Pages 354-357 A Logical Inference Approach to Query Expansion with Social Tags....Pages 358-361 Evaluating Mobile Proactive Context-Aware Retrieval: An Incremental Benchmark....Pages 362-365 Predicting the Usefulness of Collection Enrichment for Enterprise Search....Pages 366-370 Ranking List Dispersion as a Query Performance Predictor....Pages 371-374 Semi-subsumed Events: A Probabilistic Semantics of the BM25 Term Frequency Quantification....Pages 375-379 Batch-Mode Computational Advertising Based on Modern Portfolio Theory....Pages 380-383 Back Matter....Pages -
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