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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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 retrieval design and implementation questions.
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. 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.
Authors and Affiliations
Bibliographic Information
Book Title: Information Retrieval
Book Subtitle: Algorithms and Heuristics
Authors: David A. Grossman, Ophir Frieder
Series Title: The Information Retrieval Series
DOI: https://doi.org/10.1007/978-1-4020-3005-5
Publisher: Springer Dordrecht
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 2004
Hardcover ISBN: 978-1-4020-3003-1Published: 21 October 2004
Softcover ISBN: 978-1-4020-3004-8Published: 21 October 2004
eBook ISBN: 978-1-4020-3005-5Published: 12 November 2012
Series ISSN: 1871-7500
Series E-ISSN: 2730-6836
Edition Number: 2
Number of Pages: XX, 332
Topics: Artificial Intelligence, Computer Science, general, Data Storage Representation, Information Storage and Retrieval, Information Systems Applications (incl. Internet), Natural Language Processing (NLP)