Information Retrieval: Algorithms and Heuristics eBook

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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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Additional ISBNs
9781402030048

Information Retrieval: Algorithms and Heuristics 2nd Edition is written by David A. Grossman; Ophir Frieder and published by Springer. The Digital and eTextbook ISBNs for Information Retrieval are 9781402030055, 1402030053 and the print ISBNs are 9781402030031, 1402030037. Additional ISBNs for this eTextbook include 9781402030048.