Quantity: 1 available
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.
Title: Information Retrieval: Algorithms and Heuristics (The Information Retrieval Series)
Publisher: U.S.A., Springer: 2004
ISBN Number: 1402030037
ISBN Number 13: 9781402030031
Binding: Hard Cover
Book Condition: Very Good
Item: 1.00 Item
Seller ID: 129869
Description: Very good condition. Information Retrieval: Algorithms and Heuristics (The Information Retrieval Series) By David A. Grossman (Author), Ophir Frieder (Author) Product Details Series: The Information Retrieval Series (Book 15) Hardcover: 332 pages Publisher: Springer; 2nd edition (December 20, 2004) Language: English ISBN-10: 1402030037 ISBN-13: 9781402030031 Product Dimensions: 6.1 x 0.9 x 9.2 inches
Keywords: Information Retrieval: Algorithms and Heuristics (The Information Retrieval Series)