Soft Computing in Information Retrieval: Techniques and Applications

Fabio Crestani (Curatore)

Gabriella Pasi (Curatore)

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2010

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.

• Curatore: Fabio Crestani, Gabriella Pasi
• Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Collana: Studies in Fuzziness and Soft Computing
• Anno: 2010
• Rilegatura: Paperback / softback
• Pagine: 396 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783790824735

Testo in English