Soft Computing in Information Retrieval Techniques and Applications

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.

Dettagli sul prodotto

• Con la collaborazione di: Fabio Crestani (Editore), Gabriella Pasi (Editore), Fabi Crestani (Editore), Pasi (Editore), Pasi (Editore)
• Editore: Physica-Verlag
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 29.03.2001
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica
• EAN: 9783790812992
• ISBN: 978-3-7908-1299-2
• Numero di pagine: 396
• Illustrazioni: XII, 396 p.
• Altezza (della confezione): 23.5 cm
• Peso (della confezione): 725 g
• Serie: Studies in Fuzziness and Soft Computing > Vol.50; Studies in Fuzziness and Soft Computing > 50