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Soft Computing in Information Retrieval: Techniques and Applications (Studies in Fuzziness and Soft Computing, 50) - Hardcover
Synopsis
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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- PublisherPhysica
- Publication date2000
- ISBN 10 3790812994
- ISBN 13 9783790812992
- BindingHardcover
- LanguageEnglish
- Number of pages408
- EditorCrestani Fabio, Pasi Gabriella
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Soft Computing in Information Retrieval. Techniques and Applications
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Soft Computing in Information Retrieval: Techniques and Applications
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Soft Computing in Information Retrieval. Techniques and Applications (Studies in Fuzziness and Soft Computing Vol. 50)
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Physica-Verlag Heidelberg 26.05.2000., 2000
ISBN 10: 3790812994
ISBN 13: 9783790812992
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Soft Computing in Information Retrieval
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Soft Computing in Information Retrieval
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Soft Computing in Information Retrieval
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Soft Computing in Information Retrieval: Techniques and Applications (Studies in Fuzziness and Soft Computing, 50)
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Soft Computing in Information Retrieval
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Physica-Verlag, Physica-Verlag HD, Physica Mai 2000, 2000
ISBN 10: 3790812994
ISBN 13: 9783790812992
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 396 pp. Englisch. Seller Inventory # 9783790812992
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Soft Computing in Information Retrieval: Techniques and Applications (Studies in Fuzziness and Soft Computing, 50)
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Soft Computing in Information Retrieval: Techniques and Applications (Studies in Fuzziness and Soft Computing, 50)
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