Soft Computing in Information Retrieval: Techniques and Applications: 50 (Studies in Fuzziness and Soft Computing, 50) - Softcover
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 date2010
- ISBN 10 3790824739
- ISBN 13 9783790824735
- BindingPaperback
- Number of pages408
- EditorCrestani Fabio, Pasi Gabriella
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Soft Computing in Information Retrieval: Techniques and Applications (Studies in Fuzziness and Soft Computing) [Paperback ]
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Book Description Taschenbuch. 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. 408 pp. Englisch. Seller Inventory # 9783790824735
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Book Description Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 b. Seller Inventory # 5310740
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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783790824735
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Book Description Condition: New. Editor(s): Crestani, Fabio; Pasi, Gabriella. Series: Studies in Fuzziness and Soft Computing. Num Pages: 396 pages, 44 black & white tables, biography. BIC Classification: UNH. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 21. Weight in Grams: 573. . 2010. Softcover reprint of hardcover 1st ed. 2000. Paperback. . . . . Seller Inventory # V9783790824735
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Book Description Condition: New. Editor(s): Crestani, Fabio; Pasi, Gabriella. Series: Studies in Fuzziness and Soft Computing. Num Pages: 396 pages, 44 black & white tables, biography. BIC Classification: UNH. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 21. Weight in Grams: 573. . 2010. Softcover reprint of hardcover 1st ed. 2000. Paperback. . . . . Books ship from the US and Ireland. Seller Inventory # V9783790824735
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