Introduction to information retrieval / Christopher D. Manning.

By: Contributor(s): Material type: TextTextPublication details: Singapore : Cambridge University Press, 2009.Description: xxi, 482 p; 26 cmContent type:
  • Text
Media type:
  • Unmediated
Carrier type:
  • Volume
ISBN:
  • 978-0-521-75878-9
Subject(s): LOC classification:
  • 025.04 M31i
Contents:
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.
Summary: Class-tested and up-to-date textbook for introductory courses on information retrieval.
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Item type Current library Call number Status Barcode
Books Books FEU - Cavite Higher Education HED Library 025.04 M31i (Browse shelf(Opens below)) Available HED1386

Includes bibliographic references and index

English

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.

Class-tested and up-to-date textbook for introductory courses on information retrieval.

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