Document (#33487)

Author

Grossman, D.A.
Frieder, O.

Title

Information retrieval : algorithms and heuristics

Issue

2nd ed.

Imprint

Berlin : Springer Netherland

Year

2004

Pages

XX, 332 S

Isbn

1-402-03003-7

Series

Kluwer international series on information retrieval ; 15

Abstract

Interested in how an efficient search engine works? Want to know what algorithms are used to rank resulting documents in response to user requests? The authors answer these and other key information on retrieval design and implementation questions is provided. This book is not yet another high level text. Instead, algorithms are thoroughly described, making this book ideally suited for both computer science students and practitioners who work on search-related applications. As stated in the foreword, this book provides a current, broad, and detailed overview of the field and is the only one that does so. Examples are used throughout to illustrate the algorithms. The authors explain how a query is ranked against a document collection using either a single or a combination of retrieval strategies, and how an assortment of utilities are integrated into the query processing scheme to improve these rankings. Methods for building and compressing text indexes, querying and retrieving documents in multiple languages, and using parallel or distributed processing to expedite the search are likewise described. This edition is a major expansion of the one published in 1998. Neuaufl. 2005: Besides updating the entire book with current techniques, it includes new sections on language models, cross-language information retrieval, peer-to-peer processing, XML search, mediators, and duplicate document detection.

LCSH

Information storage and retrieval systems

RSWK

Algorithmus / Heuristik / Information Retrieval
Information Retrieval / Theoretische Informatik (HBZ)
Information Retrieval (BVB)

BK

06.74 / Informationssysteme
54.62 / Datenstrukturen

DDC

005.74

GHBS

TWX (SI)
BCA (FH K)

RVK

ST 270 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme
ST 271 (BVB)

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4. Larson, R.R.: Information retrieval systems (2009) 0.25

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5. Berry, M.W.; Browne, M.: Understanding search engines : mathematical modeling and text retrieval (1999) 0.24

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