Comprehensive guide to information retrieval by leading international experts including web retrievel, web crawling, open source search engines and user interfaces.

Detailed Contents of the First Edition of MIRPrefaceAcknowledgementsBiographies1 Introduction1.1 Motivation1.1.1 Information versus Data Retrieval1.1.2 Information Retrieval at the Center of the Stage1.1.3 Focus of the Book1.2 Basic Concepts1.2.1 The User Task1.2.2 Logical View of the Documents1.3 Past, Present, and Future1.3.1 Early Developments1.3.2 Information Retrieval in the Library1.3.3 The Web and Digital Libraries1.3.4 Practical Issues1.4 The Retrieval Process1.5 Organization of the Book1.5.1 Book Topics1.5.2 Book Chapters1.6 How to Use this Book1.6.1 Teaching Suggestions1.6.2 The Book's Web Page1.7 Bibliographic Discussion2 Modeling2.1 Introduction2.2 A Taxonomy of Information Retrieval Models2.3 Retrieval: Ad hoc and Filtering2.4 A Formal Characterization of IR Models2.5 Classic Information Retrieval2.5.1 Basic Concepts2.5.2 Boolean Model2.5.3 Vector Model2.5.4 Probabilistic Model2.5.5 Brief Comparison of Classic Models2.6 Alternative Set Theoretic Models2.6.1 Fuzzy Set Model2.6.2 Extended Boolean Model2.7 Alternative Algebraic Models2.7.1 Generalized Vector Space Model2.7.2 Latent Semantic Indexing Model2.7.3 Neural Network Model2.8 Alternative Probabilistic Models2.8.1 Bayesian Networks2.8.2 Inference Network Model2.8.3 Belief Network Model2.8.4 Comparison of Bayesian Network Models2.8.5 Computational Costs of Bayesian Networks2.8.6 The Impact of Bayesian Network Models2.9 Structured Text Retrieval Models2.9.1 Model Based on Non-Overlapping Lists2.9.2 Model Based on Proximal Nodes2.10 Models for Browsing2.10.1 Flat Browsing2.10.2 Structure Guided Browsing2.10.3 The Hypertext Model2.11 Trends and Research Issues2.12 Bibliographic Discussion3 Retrieval Evaluation3.1 Introduction3.2 Retrieval Performance Evaluation3.2.1 Recall and Precision3.2.2 Alternative Measures3.3 Reference Collections3.3.1 The TREC Collection3.3.2 The CACM and ISI Collections3.3.3 The Cystic Fibrosis Collection3.4 Trends and Research Issues3.5 Bibliographic Discussion4 Query Languages4.1 Introduction4.2 Keyword-Based Querying4.2.1 Single-Word Queries4.2.2 Context Queries4.2.3 Boolean Queries4.2.4 Natural Language4.3 Pattern Matching4.4 Structural Queries4.4.1 Fixed Structure4.4.2 Hypertext4.4.3 Hierarchical Structure4.5 Query Protocols4.6 Trends and Research Issues4.7 Bibliographic Discussion5 Query Operations5.1 Introduction5.2 User Relevance Feedback5.2.1 Query Expansion and Term Reweighting for the Vector Model5.2.2 Term Reweighting for the Probabilistic Model5.2.3 A Variant of Probabilistic Term Reweighting5.2.4 Evaluation of Relevance Feedback Strategies5.3 Automatic Local Analysis5.3.1 Query Expansion Through Local Clustering5.3.2 Query Expansion Through Local Context Analysis5.4 Automatic Global Analysis5.4.1 Query Expansion based on a Similarity Thesaurus5.4.2 Query Expansion based on a Statistical Thesaurus5.5 Trends and Research Issues5.6 Bibliographic Discussion6 Text and Multimedia Languages and Properties6.1 Introduction6.2 Metadata6.3 Text6.3.1 Formats6.3.2 Information Theory6.3.3 Modeling Natural Language6.3.4 Similarity Models6.4 Markup Languages6.4.1 SGML6.4.2 HTML6.4.3 XML6.5 Multimedia6.5.1 Formats6.5.2 Textual Images6.5.3 Grap