Soft Computing in Information Retrieval : Techniques and Applications /

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Bibliographic Details
Author / Creator:	Crestani, Fabio.
Imprint:	Heidelberg : Physica-Verlag HD : Imprint : Physica, 2000.
Description:	1 online resource (xii, 395 pages).
Language:	English
Series:	Studies in Fuzziness and Soft Computing, 1434-9922 ; 50 Studies in fuzziness and soft computing ; 50.
Subject:	Computer science. Information storage and retrieval systems. Artificial intelligence. Management information systems. Artificial intelligence. Computer science. Information storage and retrieval systems. Management information systems.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11079072

Hidden Bibliographic Details
Other authors / contributors:	Pasi, Gabriella.
ISBN:	9783790818499 3790818496 9783790824735 3790824739 3790818496
Summary:	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.
Other form:	Print version: 9783790824735
Standard no.:	10.1007/978-3-7908-1849-9

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