Soft Computing in Information Retrieval
By:Fabio Crestani
Published on 2000-05-26 by Springer Science & Business Media
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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Book which was published by Springer Science & Business Media since 2000-05-26 have ISBNs, ISBN 13 Code is 9783790812992 and ISBN 10 Code is 3790812994
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