Information Retrieval: Algorithms and Heuristics
Grossman, David A.; Frieder, Ophir
ISBN 10: 0792382714 ISBN 13: 9780792382713
Editore: Springer, 1998
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May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.27. Codice articolo G0792382714I4N00
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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 them fast. Through multiple examples, the most commonly used algorithms and heuristics needed are tackled. To facilitate understanding and applications, introductions to and discussions of computational linguistics, natural language processing, probability theory and library and computer science are provided. While this text focuses on algorithms and not on commercial product per se, the basic strategies used by many commercial products are described. Techniques that can be used to find information on the Web, as well as in other large information collections, are included.
This volume is an invaluable resource for researchers, practitioners, and students working in information retrieval and databases. For instructors, a set of Powerpoint slides, including speaker notes, are available online from the authors.
Contenuti: List of Figures. Preface. 1. Introduction. 2. Retrieval Strategies. 3. Retrieval Utilities. 4. Efficiency Issues pertaining to Sequential IR Systems. 5. Integrating Structured Data and Text. 6. Parallel Information Retrieval Systems. 7. Distributed Information Retrieval. 8. The Text Retrieval Conference (TREC). 9. Future Directions. References.
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Titolo: Information Retrieval: Algorithms and ...
Casa editrice: Springer
Data di pubblicazione: 1998
Legatura: Hardcover
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Information Retrieval: Algorithms and Heuristics (The Springer International Series in Engineering and Computer Science, 461)
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Information Retrieval: Algorithms and Heuristics (The Springer International Series in Engineering and Computer Science, 461)
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Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Codice articolo Z1-B-017-02186
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Information Retrieval: Algorithms and Heuristics; The Kluwer International Series in Engineering and Computer Science, 461;
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ISBN 10: 0792382714
ISBN 13: 9780792382713
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 fi. Codice articolo 5970795
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Information Retrieval : Algorithms And Heuristics (the International Series In Engineering And Computer Science)
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Information Retrieval
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 them fast. Through multiple examples, the most commonly used algorithms and heuristics needed are tackled. To facilitate understanding and applications, introductions to and discussions of computational linguistics, natural language processing, probability theory and library and computer science are provided. While this text focuses on algorithms and not on commercial product per se, the basic strategies used by many commercial products are described. Techniques that can be used to find information on the Web, as well as in other large information collections, are included.This volume is an invaluable resource for researchers, practitioners, and students working in information retrieval and databases. For instructors, a set of Powerpoint slides, including speaker notes, are available online from the authors.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 272 pp. Englisch. Codice articolo 9780792382713
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