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Introduction to information retrieval / Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze.

By: Contributor(s): Material type: TextLanguage: English Publication details: New York : Cambridge University Press, 2008.Description: xxi, 482 p. : ill. ; 27 cmISBN:
  • 9780521865715 (hardback)
  • 0521865719 (hardback)
  • 9781107666399
Subject(s): DDC classification:
  • 025.04 22 MAN
Online resources:
Contents:
Boolean retrieval -- The term vocabulary and postings lists -- Dictionaries and tolerant retrieval -- Index construction -- Index compression -- Scoring, term weighting, and the vector space model -- Computing scores in a complete search system -- Evaluation in information retrieval -- Relevance feedback and query expansion -- XML retrieval -- Probabilistic information retrieval -- Language models for information retrieval -- Text classification and Naive Bayes -- Vector space classification -- Support vector machines and machine learning on documents -- Flat clustering -- Hierarchical clustering -- Matrix decompositions and latent semantic indexing -- Web search basics -- Web crawling and indexes -- Link analysis.
List(s) this item appears in: Weekly Addition
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
General Books CUTN Central Library Generalia Non-fiction 025.04 MAN (Browse shelf(Opens below)) Available 41537
General Books CUTN Central Library Generalia Non-fiction 025.04 MAN (Browse shelf(Opens below)) Checked out to Dhanyasree V K (17062A) 17/12/2020 36775

Boolean retrieval --
The term vocabulary and postings lists --
Dictionaries and tolerant retrieval --
Index construction --
Index compression --
Scoring, term weighting, and the vector space model --
Computing scores in a complete search system --
Evaluation in information retrieval --
Relevance feedback and query expansion --
XML retrieval --
Probabilistic information retrieval --
Language models for information retrieval --
Text classification and Naive Bayes --
Vector space classification --
Support vector machines and machine learning on documents --
Flat clustering --
Hierarchical clustering --
Matrix decompositions and latent semantic indexing --
Web search basics --
Web crawling and indexes --
Link analysis.

Includes bibliographical references (p. 441-468) and index.

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