Information Retrieval Algorithms and Heuristics

ISBN-10: 1402030045

ISBN-13: 9781402030048

Edition: 2nd 2004 (Revised)

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Description: 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.

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Book details

List price: $89.99
Edition: 2nd
Copyright year: 2004
Publisher: Springer
Publication date: 10/21/2004
Binding: Paperback
Pages: 332
Size: 6.00" wide x 9.00" long x 0.75" tall
Weight: 1.342
Language: English

List of Figures
Preface
Acknowledgements
Introduction
Retrieval Strategies
Retrieval Utilities
Cross-Language Information Retrieval
Efficiency
Integrating Structured Data and text
Parallel Information retrieval
Distributed Information retrieval
Summary and Future Directions References
Index
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