Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Soft Computing in Information Retrieval: Techniques and Applications

Soft Computing in Information Retrieval: Techniques and Applications

Crestani, Fabio
Pasi, Gabriella

Hardcover

Series: Studies in Fuzziness and Soft Computing, Book 50

General ComputersSystem Administration

ISBN10: 3790812994
ISBN13: 9783790812992
Publisher: Springer Nature
Published: May 26 2000
Pages: 396
Weight: 1.66
Height: 0.94 Width: 6.14 Depth: 9.21
Language: English
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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