Information Retrieval : Algorithms and Heuristics

Information Retrieval: Algorithms and Heuristics is a comprehensive introduction to the study of information retrieval covering both effectiveness and run-time performance. The focus of the presentation is on algorithms and heuristics used to find documents relevant to the user request and to find t...

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Main Authors: Grossman, David A., Frieder, Ophir (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY Springer US 1998, 1998
Edition:1st ed. 1998
Series:The Springer International Series in Engineering and Computer Science
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 1. Introduction
  • 2. Retrieval Strategies
  • 2.1 Vector Space Model
  • 2.2 Probabilistic Retrieval Strategies
  • 2.3 Inference Networks
  • 2.4 Extended Boolean Retrieval
  • 2.5 Latent Semantic Indexing
  • 2.6 Neural Networks
  • 2.7 Genetic Algorithms
  • 2.8 Fuzzy Set Retrieval
  • 2.9 Summary
  • 2.10 Exercises
  • 3. Retrieval Utilities
  • 3.1 Relevance Feedback
  • 3.2 Clustering
  • 3.3 Passage-based Retrieval
  • 3.4 N-grams
  • 3.5 Regression Analysis
  • 3.6 Thesauri
  • 3.7 Semantic Networks
  • 3.8 Parsing
  • 3.9 Summary
  • 3.10 Exercises
  • 4. Efficiency Issues Pertaining To Sequential IR Systems
  • 4.1 Inverted Index
  • 4.2 Query Processing
  • 4.3 Signature Files
  • 4.4 Summary
  • 4.5 Exercises
  • 5. Integrating Structured Data and Text
  • 5.1 Review of the Relational Model
  • 5.2 A Historical Progression
  • 5.3 Information Retrieval Functionality Using the Relational Model
  • 5.4 Boolean Retrieval
  • 5.5 Proximity Searches
  • 5.6 Computing Relevance Using Unchanged SQL
  • 5.7 Rele