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pp. 412. N° de ref. del artículo 182178987
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.
Reseña del editor: 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.
Título: Soft Computing in Information Retrieval
Editorial: Physica-Verlag
Año de publicación: 2000
Encuadernación: Encuadernación de tapa dura
Condición: New
Librería: Zubal-Books, Since 1961, Cleveland, OH, Estados Unidos de America
Condición: Very Good. xii, 395 pp., Hardcover, covers rubbed, else very good. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Nº de ref. del artículo: ZB916589
Cantidad disponible: 1 disponibles
Librería: PsychoBabel & Skoob Books, Didcot, Reino Unido
Hardcover. Condición: Very Good. Estado de la sobrecubierta: No Dust Jacket. Hardcover, printed boards, no jacket. A few superficial marks and scores on boards, with imprint from price sticker on rear and a further small mark on front. Leading corners worn, with slightly bent lower set. Spine ends slightly worn. Minor dent on upper edges. Very few minor marks on page block. Content is clear throughout, on clean, sound pages. TS. Used. Nº de ref. del artículo: 276385
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Librería: NEPO UG, Rüsselsheim am Main, Alemania
Condición: Sehr gut. Auflage: 2000. 393 Seiten nice book ex Library Sprache: Englisch Gewicht in Gramm: 969 23,6 x 15,5 x 2,8 cm, Gebundene Ausgabe. Nº de ref. del artículo: 345036
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Librería: moluna, Greven, Alemania
Condición: 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. Nº de ref. del artículo: 5310278
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Buch. Condición: 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. Nº de ref. del artículo: 9783790812992
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 3338370-n
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 412 pp. Englisch. Nº de ref. del artículo: 9783790812992
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Buch. Condición: 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. Nº de ref. del artículo: 9783790812992
Cantidad disponible: 1 disponibles
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Condición: New. Nº de ref. del artículo: 3338370-n
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