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

EAN (ISBN-13): 9783642044168
ISBN (ISBN-10): 3642044166
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2009
Herausgeber: Springer Berlin Heidelberg
386 Seiten
Gewicht: 0,614 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2009-09-24T11:37:36+02:00 (Berlin)
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ISBN/EAN: 3642044166

ISBN - alternative Schreibweisen:
3-642-04416-6, 978-3-642-04416-8
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: azzopardi, song, rüger, rueger, robert robertson, ruge, rüge, yilmaz, dawe, emin, dawei, milad
Titel des Buches: advances information retrieval, proceedings the second international conference, information theory

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Daten vom Verlag:

Autor/in: Leif Azzopardi; Gabriella Kazai; Stephen Robertson; Stefan Rüger; Milad Shokouhi; Dawei Song; Emine Yilmaz
Titel: Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI; Advances in Information Retrieval Theory - Second International Conference on the Theory of Information Retrieval, ICTIR 2009 Cambridge, UK, September 10-12, 2009 Proceedings
Verlag: Springer; Springer Berlin
386 Seiten
Erscheinungsjahr: 2009-08-31
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XVI, 386 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Informationsrückgewinnung, Information Retrieval; Verstehen; Informatik; 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; algorithm analysis and problem complexity; Information Storage and Retrieval; Artificial Intelligence; Data Mining and Knowledge Discovery; Database Management; Algorithms; Computer and Information Systems Applications; Data Warehousing; Künstliche Intelligenz; Data Mining; Wissensbasierte Systeme, Expertensysteme; Datenbanken; Algorithmen und Datenstrukturen; Angewandte Informatik; EA

Invited Talk.- Is There Something Quantum-Like about the Human Mental Lexicon?.- Regular Papers.- Probably Approximately Correct Search.- PageRank: Splitting Homogeneous Singular Linear Systems of Index One.- Training Data Cleaning for Text Classification.- Semi-parametric and Non-parametric Term Weighting for Information Retrieval.- Bridging Language Modeling and Divergence from Randomness Models: A Log-Logistic Model for IR.- Ordinal Regression Based Model for Personalized Information Retrieval.- Navigating in the Dark: Modeling Uncertainty in Ad Hoc Retrieval Using Multiple Relevance Models.- A Belief Model of Query Difficulty That Uses Subjective Logic.- “A term is known by the company it keeps”: On Selecting a Good Expansion Set in Pseudo-Relevance Feedback.- An Effective Approach to Verbose Queries Using a Limited Dependencies Language Model.- Time-Sensitive Language Modelling for Online Term Recurrence Prediction.- Score Distributions in Information Retrieval.- Modeling the Score Distributions of Relevant and Non-relevant Documents.- Modeling Expected Utility of Multi-session Information Distillation.- Specificity Aboutness in XML Retrieval.- An Effectiveness Measure for Ambiguous and Underspecified Queries.- An Analysis of NP-Completeness in Novelty and Diversity Ranking.- From “Identical” to “Similar”: Fusing Retrieved Lists Based on Inter-document Similarities.- Short Papers.- A Quantum-Based Model for Interactive Information Retrieval.- The Quantum Probability Ranking Principle for Information Retrieval.- Written Texts as Statistical Mechanical Problem.- What Happened to Content-Based Information Filtering?.- Prior Information and the Determination of Event Spaces in Probabilistic Information Retrieval Models.- Robust Word Similarity EstimationUsing Perturbation Kernels.- Possibilistic Similarity Estimation and Visualization.- A New Measure of the Cluster Hypothesis.- Explaining User Performance in Information Retrieval: Challenges to IR Evaluation.- A Four-Factor User Interaction Model for Content-Based Image Retrieval.- Predicting Query Performance by Query-Drift Estimation.- What’s in a Link? From Document Importance to Topical Relevance.- Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links.- Optimizing WebPage Interest.- Posters.- The “Beautiful” in Information.- IR Evaluation without a Common Set of Topics.- An Ad Hoc Information Retrieval Perspective on PLSI through Language Model Identification.- Less Is More: Maximal Marginal Relevance as a Summarisation Feature.- On the Notion of “An Information Need”.- A Logical Inference Approach to Query Expansion with Social Tags.- Evaluating Mobile Proactive Context-Aware Retrieval: An Incremental Benchmark.- Predicting the Usefulness of Collection Enrichment for Enterprise Search.- Ranking List Dispersion as a Query Performance Predictor.- Semi-subsumed Events: A Probabilistic Semantics of the BM25 Term Frequency Quantification.- Batch-Mode Computational Advertising Based on Modern Portfolio Theory.