ENGLISH

Soft Computing in Information Retrieval: Techniques and Applications

By Ronald R. Yager (auth.) , Dr. Gabriella Pasi (eds.) , Dr. Fabio Crestani

Book information

Publisher
Physica-Verlag Heidelberg
Year
2000
ISBN
978-3-7908-2473-5, 978-3-7908-1849-9
DOI
10.1007/978-3-7908-1849-9
Language
english
Format
PDF
Filesize
13 MB (13883091 bytes)
Series
Studies in Fuzziness and Soft Computing 50
Edition
1
Pages
396\398
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Information Storage and Retrieval; Artificial Inte

Description

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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