Information Retrieval: Algorithms and Heuristics

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Springer Science & Business Media, 30.09.1998 - 254 Seiten
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.
 

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Inhalt

INTRODUCTION
1
RETRIEVAL STRATEGIES
11
RETRIEVAL UTILITIES
83
EFFICIENCY ISSUES PERTAINING TO SEQUENTIAL IR SYSTEMS
133
INTEGRATING STRUCTURED DATA AND TEXT
153
PARALLEL INFORMATION RETRIEVAL SYSTEMS
185
DISTRIBUTED INFORMATION RETRIEVAL
201
THE TEXT RETRIEVAL CONFERENCE TREC
221
FUTURE DIRECTIONS
227
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