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

By: Contributor(s): Material type: TextTextLanguage: 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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Item type Current library Collection Call number Status Date due Barcode
General Books General Books CUTN Central Library Generalia Non-fiction 025.04 MAN (Browse shelf(Opens below)) Available 41537
General Books 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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