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Soft Computing in Information Retrieval: Techniques and Applications (Studies in Fuzziness and Soft Computing) [Hardcover]

Fabio Crestani (Editor), Gabriella Pasi (Editor)

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Book Description

Series: Studies in Fuzziness and Soft Computing | Publication Date: June 16, 2000

Information retrieval (IR) aims at defining systems able to provide a fast and effective content-based access to a large amount of stored information. The aim of an IR system is to estimate the relevance of documents to users' information needs, expressed by means of a query. This is a very difficult and complex task, since it is pervaded with imprecision and uncertainty. Most of the existing IR systems offer a very simple model of IR, which privileges efficiency at the expense of effectiveness. A promising direction to increase the effectiveness of IR is to model the concept of "partially intrinsic" in the IR process and to make the systems adaptive, i.e. able to "learn" the user's concept of relevance. To this aim, the application of soft computing techniques can be of help to obtain greater flexibility in IR systems.

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } Information retrieval (IR) aims at defining systems able to provide a fast and effective content-based access to a large amount of stored information. The aim of an IR system is to estimate the relevance of documents to users' information needs, expressed by means of a query. This is a very difficult and complex task, since it is pervaded with imprecision and uncertainty. Most of the existing IR systems offer a very simple model of IR, which privileges efficiency at the expense of effectiveness. A promising direction to increase the effectiveness of IR is to model the concept of "partially intrinsic" in the IR process and to make the systems adaptive, i.e. able to "learn" the user's concept of relevance. To this aim, the application of soft computing techniques can be of help to obtain greater flexibility in IR systems.

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Product Details

Hardcover: 424 pages
Publisher: Physica-Verlag HD; 1 edition (June 16, 2000)
Language: English
ISBN-10: 3790812994
ISBN-13: 978-3790812992
Product Dimensions: 9.3 x 6.1 x 1.1 inches
Shipping Weight: 1.6 pounds (View shipping rates and policies)
Amazon Best Sellers Rank: #4,226,298 in Books (See Top 100 in Books)

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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!

Inside This Book (learn more)

First Sentence:
Abstract. We describe a document retrieval language which enables user's to better represent their requirements with respect to the desired documents to be retrieve. Read the first page

Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, New York, Int'l Conf, Englewood Cliffs, Journal of Documentation, Kluwer Academic Publishers, Morgan Kaufmann, Sparck Jones, World Factbook, Automatic Document Processing, Lecture Notes, Prentice Hall, John Wiley, San Francisco, Springer Verlag, Surface Water, Academic Press, Extended Boolean Model, International Journal of Man-Machine Studies, Joint Conf, Lawrence Erlbaum, National Library of Medicine, Psychological Review, The Netherlands, Unified Medical Language System

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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!

Citations (learn more)

This book cites 56 books:

Information Retrieval by C. J. Van Rijsbergen on 8 pages
Introduction to Modern Information Retrieval (Mcgraw Hill Computer Science Series) by Gerard Salton on 4 pages
Research and Development in Information Retrieval (British Computer Society Workshop Series) by C. J. van Rijsbergen on page 197, page 198, and page 330
Artificial Intelligence by Elaine Rich on page 140, and page 291
Self-Organizing Maps by Teuvo Kohonen on page 101, and page 119

See all 56 books this book cites

13 books cite this book:

Intelligent Technologies for Information Analysis by Ning Zhong on 5 pages
Fuzzy Logic and the Semantic Web (Capturing Intelligence) by Elie Sanchez on page 46, page 89, and page 133
Multiset Processing: Mathematical, Computer Science, and Molecular Computing Points of View (Lecture Notes in Computer Science) on page 235
Enhancing the Power of the Internet (Studies in Fuzziness and Soft Computing) by Masoud Nikravesh on page 222
Computational Web Intelligence: Intelligent Technology for Web Applications (Series in Machine Perception and Artifical Intelligence) by Yan-Qing Zhang on page 164

See all 13 books citing this book

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