Introduction to Information Retrieval International Student Edition
Introduction to Information Retrieval International Student Edition
Christopher D. Manning
Prabhakar Raghavan
Hinrich Schütze
Prabhakar Raghavan
Hinrich Schütze
November 2008
Available in limited markets only
Paperback
9780521758789
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Reviews & endorsements
'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.
Product details
November 2008Paperback
9780521758789
496 pages
253 × 177 mm
0kg
5 b/w illus. 47 tables 263 exercises
Available
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.
