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Look Inside Finding Out About

Finding Out About
A Cognitive Perspective on Search Engine Technology and the WWW

$69.99 (X)

  • Date Published: July 2008
  • availability: Available
  • format: Paperback
  • isbn: 9780521734462

$ 69.99 (X)

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About the Authors
  • The World Wide Web is rapidly filling with more text than anyone could have imagined a short time ago. However, the task of determining which data is relevant has become appreciably harder. In this original new work Richard Belew brings a cognitive science perspective to the study of information as a computer science discipline. He introduces the idea of Finding Out About (FOA), the process of actively seeking out information relevant to a topic of interest. Belew describes all facets of FOA, ranging from creating a good characterization of what the user seeks to evaluating the successful performance of search engines. His volume clearly shows how to build many of the tools that are useful for searching collections of text and other media. While computer scientists make up the book's primary audience, Belew skillfully presents technical details in a manner that makes important themes accessible to readers more comfortable with words than equations. Resources are available from the book's web site

    • Relevant to both technical 'number people' and literate 'word people'
    • Integrated software allows easy experimentation
    • Supporting website includes errata and resources for instructors
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    Reviews & endorsements

    "FOA is a comprehensive resource for teaching a programming-based information retrieval class. The text provides an integrated introduction to many topics in information retrieval with a strong emphasis on mathematical and machine learning models, as well as giving a clear account of implementation details for the programming assignments." Information Retrieval

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    Product details

    • Date Published: July 2008
    • format: Paperback
    • isbn: 9780521734462
    • length: 384 pages
    • dimensions: 235 x 178 x 17 mm
    • weight: 0.63kg
    • contains: 10 b/w illus. 5 colour illus. 20 tables 60 exercises
    • availability: Available
  • Table of Contents

    1. Overview
    2. Extracting lexical features
    3. Weighting and matching against indices
    4. Assessing the retrieval
    5. Mathematical foundations
    6. Inference beyond the index
    7. Adaptive information retrieval
    8. Conclusions and future directions.

  • Instructors have used or reviewed this title for the following courses

    • Business intelligence & data warehousing
  • Author

    Richard K. Belew, University of California, San Diego
    Richard K. Belew is a professor in the Computer Science and Engineering departments at The University of California, San Diego. He is an associate editor of the journal Evolutionary Computation and co-editor (with Melanie Mitchell) of Adaptive Individuals in Populations (1996).

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