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A class-tested and up-to-date textbook for introductory courses on information retrieval.
Class-tested and up-to-date textbook for introductory courses on information retrieval.
Inhaltsverzeichnis
1. Information retrieval using the Boolean model; 2. The dictionary and postings lists; 3. Tolerant retrieval; 4. Index construction; 5. Index compression; 6. Scoring and term weighting; 7. Vector space retrieval; 8. Evaluation in information retrieval; 9. Relevance feedback and query expansion; 10. XML retrieval; 11. Probabilistic information retrieval; 12. Language models for information retrieval; 13. Text classification and Naive Bayes; 14. Vector space classification; 15. Support vector machines and kernel functions; 16. Flat clustering; 17. Hierarchical clustering; 18. Dimensionality reduction and latent semantic indexing; 19. Web search basics; 20. Web crawling and indexes; 21. Link analysis.
Produktdetails
Erscheinungsdatum
15. September 2008
Sprache
englisch
Auflage
Anniversary
Seitenanzahl
XXI
Autor/Autorin
Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze
Illustrationen
5 halftones, 47 tables, 263 exercises
Verlag/Hersteller
Produktart
gebunden
Abbildungen
5 halftones, 47 tables, 263 exercises
Gewicht
1137 g
Größe (L/B/H)
260/183/32 mm
ISBN
9780521865715
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Pressestimmen
'This is the first book that gives you a complete picture of the complications that arise in building a modern web-scale search engine. You'll learn about ranking SVMs, XML, DNS, and LSI. You'll discover the seedy underworld of spam, cloaking, and doorway pages. You'll see how MapReduce and other approaches to parallelism allow us to go beyond megabytes and to efficiently manage petabytes.' Peter Norvig, Director of Research, Google Inc.