01578nam a2200277Ia 450000500170000000800410001724500690005810000280012770000240015570000210017926000520020030000170025230000110026950000480028002000220032865000390035065000260038965000170041505000160043254600120044850507130046052000920117333600090126533700150127433800110128920260803094031.0251212s2009    xx            000 0 und d1 aIntroduction to information retrieval /cChristopher D. Manning.  aManning, Christopher D.  aRaghavan, Prabhakar  aSchutze, Hinrich  aSingapore :bCambridge University Press,c2009.  axxi, 482 p.:  c26 cm.  aIncludes bibliographic references and index  a978-0-521-75878-9  aText processing (Computer science)  aInformation retrieval  aSemantic Web  a025.04 M31i  aEnglish  a1. 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.  aClass-tested and up-to-date textbook for introductory courses on information retrieval.  aText  aUnmediated  aVolume