Introduction to information retrieval /
Christopher D. Manning.
- Singapore : Cambridge University Press, 2009.
- xxi, 482 p.: 26 cm.
Includes bibliographic references and index
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.
English
978-0-521-75878-9
Text processing (Computer science) Information retrieval Semantic Web