Information Retrieval: Algorithms and Heuristics 1998 Edition Contributor(s): Grossman, David A. (Author), Frieder, Ophir (Author) |
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ISBN: 0792382714 ISBN-13: 9780792382713 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: September 1998 Annotation: Information Retrieval: Algorithms and Heuristics is a comprehensive introduction to the study of information retrieval covering both effectiveness and run-time performance. The focus of the presentation is on algorithms and heuristics used to find documents relevant to the user request and to find them fast. Through multiple examples, the most commonly used algorithms and heuristics needed are tackled. To facilitate understanding and applications, introductions to and discussions of computational linguistics, natural language processing, probability theory and library and computer science are provided. While this text focuses on algorithms and not on commercial product per se, the basic strategies used by many commercial products are described. Techniques that can be used to find information on the Web, as well as in other large information collections, are included. This volume is an invaluable resource for researchers, practitioners, and students working in information retrieval and databases. For instructors, a set of Powerpoint slides, including speaker notes, are available online from the authors. |
Additional Information |
BISAC Categories: - Computers | System Administration - Storage & Retrieval - Mathematics - Computers | Desktop Applications - Word Processing |
Dewey: 005.74 |
LCCN: 98030435 |
Series: The Springer International Engineering and Computer Science |
Physical Information: 0.81" H x 6.32" W x 9.6" (1.27 lbs) 254 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Information Retrieval: Algorithms and Heuristics is a comprehensive introduction to the study of information retrieval covering both effectiveness and run-time performance. The focus of the presentation is on algorithms and heuristics used to find documents relevant to the user request and to find them fast. Through multiple examples, the most commonly used algorithms and heuristics needed are tackled. To facilitate understanding and applications, introductions to and discussions of computational linguistics, natural language processing, probability theory and library and computer science are provided. While this text focuses on algorithms and not on commercial product per se, the basic strategies used by many commercial products are described. Techniques that can be used to find information on the Web, as well as in other large information collections, are included. This volume is an invaluable resource for researchers, practitioners, and students working in information retrieval and databases. For instructors, a set of Powerpoint slides, including speaker notes, are available online from the authors. |