Information Retrieval: Algorithms and Heuristics (The Information Retrieval Series)
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 retrievaldesign 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 andpractitioners 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 toillustrate 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 areintegrated 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 toexpedite 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 languagemodels, cross-language information retrieval, peer-to-peer processing, XML search, mediators, and duplicate document detection.
From the reviews of the second edition:
*An electronic version of a printed book that can be read on a computer or handheld device designed specifically for this purpose.
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