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Finding Out About

Finding Out About

Finding Out About

A Cognitive Perspective on Search Engine Technology and the WWW
Richard K. Belew , University of California, San Diego
July 2008
Available
Paperback
9780521734462
$86.00
USD
Paperback
Hardback

    Finding Out About explains how to build useful tools for searching collections of text and other media. In the process it takes a close look at the properties of textual documents that do not become clear until very large collections of them are brought together and shows that the constructions of effective search engines requires knowledge of the statistical and mathematical properties of linguistic phenomena, as well as an appreciation for the cognitive foundation we bring to the task as language users. The unique approach of this book is its even handling of the phenomena of both numbers and words, giving it a wide appeal. The textbook works for undergraduate and graduate classes on information retrieval, library science, and computational linguistics. More exercises are available to instructors. A supporting Web site includes recent additions to the book, as well as links to sites of new topics and methods.

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

    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

    See more reviews

    Product details

    July 2008
    Paperback
    9780521734462
    384 pages
    235 × 178 × 17 mm
    0.63kg
    10 b/w illus. 5 colour illus. 20 tables 60 exercises
    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.
      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).