Soft Computing in Information Retrieval - Techniques and Applications (Hardcover, 2000 ed.)

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.

General

Imprint:	Physica-Verlag
Country of origin:	Germany
Series:	Studies in Fuzziness and Soft Computing, 50
Release date:	May 2000
First published:	2000
Editors:	Fabio Crestani • Gabriella Pasi
Dimensions:	235 x 155 x 23mm (L x W x T)
Format:	Hardcover
Pages:	396
Edition:	2000 ed.
ISBN-13:	978-3-7908-1299-2
Categories:	Books > Reference & Interdisciplinary > Library & information sciences > Automation of library & information processes Books > Reference & Interdisciplinary > Communication studies > Information theory > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-7908-1299-4
Barcode:	9783790812992

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