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Introduction to Information Retrieval

Introduction to Information Retrieval
International Student Edition

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  • Date Published: November 2008
  • availability: Available in limited markets only
  • format: Paperback
  • isbn: 9780521758789

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Available in limited markets only
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    '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.

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    Product details

    • Date Published: November 2008
    • format: Paperback
    • isbn: 9780521758789
    • length: 496 pages
    • dimensions: 253 x 177 mm
    • contains: 5 b/w illus. 47 tables 263 exercises
    • availability: Available in limited markets only
  • Table of 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.

  • Authors

    Christopher D. Manning

    Prabhakar Raghavan

    Hinrich Schütze

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