Idioma: Inglés
Publicado por The IIA Research Foundation, 2010
ISBN 10: 0894136852 ISBN 13: 9780894136856
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Añadir al carritoHardcover. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Idioma: Inglés
Publicado por The IIA Research Foundation, 2010
ISBN 10: 0894136852 ISBN 13: 9780894136856
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Idioma: Inglés
Publicado por Springer Berlin Heidelberg, 2005
ISBN 10: 3540298460 ISBN 13: 9783540298465
Librería: moluna, Greven, Alemania
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Añadir al carritoKartoniert / Broschiert. Condición: New.
Idioma: Inglés
Publicado por Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2005, 2005
ISBN 10: 3540298460 ISBN 13: 9783540298465
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Web personalizationcan be de ned as any set of actions that can tailor the Web experience to a particular user or set of users. The experience can be something as casualas browsinga Web site oras (economically)signi cantas tradingstock or purchasing a car. The actions can range from simply making the presentation more pleasing to anticipating the needs of a user and providing customized and relevant information. To achieve e ective personalization, organizations must rely on all available data, including the usage and click-stream data (re e- ing user behavior), the site content, the site structure, domain knowledge, user demographics and pro les. In addition, e cient and intelligent techniques are needed to mine these data for actionable knowledge, and to e ectively use the discovered knowledge to enhance the users¿ Web experience. These techniques must address important challenges emanating from the size and the heteroge- ity of the data, and the dynamic nature of user interactions with the Web. E-commerce and Web information systems are rich sources of di cult pr- lems and challenges for AI researchers. These challenges include the scalability of the personalization solutions, data integration, and successful integration of techniques from machine learning, information retrievaland ltering, databases, agent architectures, knowledge representation, data mining, text mining, stat- tics, user modelling and human¿computer interaction. Throughout the history of the Web, AI has continued to play an essential role in the development of Web-based information systems, and now it is believed that personalization will prove to be the ¿killer-app¿ for AI.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch.
Idioma: Inglés
Publicado por Springer Berlin Heidelberg, 2005
ISBN 10: 3540298460 ISBN 13: 9783540298465
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Web personalizationcan be de ned as any set of actions that can tailor the Web experience to a particular user or set of users. The experience can be something as casualas browsinga Web site oras (economically)signi cantas tradingstock or purchasing a car. The actions can range from simply making the presentation more pleasing to anticipating the needs of a user and providing customized and relevant information. To achieve e ective personalization, organizations must rely on all available data, including the usage and click-stream data (re e- ing user behavior), the site content, the site structure, domain knowledge, user demographics and pro les. In addition, e cient and intelligent techniques are needed to mine these data for actionable knowledge, and to e ectively use the discovered knowledge to enhance the users Web experience. These techniques must address important challenges emanating from the size and the heteroge- ity of the data, and the dynamic nature of user interactions with the Web. E-commerce and Web information systems are rich sources of di cult pr- lems and challenges for AI researchers. These challenges include the scalability of the personalization solutions, data integration, and successful integration of techniques from machine learning, information retrievaland ltering, databases, agent architectures, knowledge representation, data mining, text mining, stat- tics, user modelling and human computer interaction. Throughout the history of the Web, AI has continued to play an essential role in the development of Web-based information systems, and now it is believed that personalization will prove to be the killer-app for AI.
Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Intelligent Techniques for Web Personalization | IJCAI 2003 Workshop, ITWP 2003, Acapulco, Mexico, August 11, 2003, Revised Selected Papers | Bamshad Mobasher (u. a.) | Taschenbuch | viii | Englisch | 2005 | Springer | EAN 9783540298465 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoPaperback. Condición: Like New. Like New. book.
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Springer Berlin Heidelberg Nov 2005, 2005
ISBN 10: 3540298460 ISBN 13: 9783540298465
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 53,49
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Web personalizationcan be de ned as any set of actions that can tailor the Web experience to a particular user or set of users. The experience can be something as casualas browsinga Web site oras (economically)signi cantas tradingstock or purchasing a car. The actions can range from simply making the presentation more pleasing to anticipating the needs of a user and providing customized and relevant information. To achieve e ective personalization, organizations must rely on all available data, including the usage and click-stream data (re e- ing user behavior), the site content, the site structure, domain knowledge, user demographics and pro les. In addition, e cient and intelligent techniques are needed to mine these data for actionable knowledge, and to e ectively use the discovered knowledge to enhance the users Web experience. These techniques must address important challenges emanating from the size and the heteroge- ity of the data, and the dynamic nature of user interactions with the Web. E-commerce and Web information systems are rich sources of di cult pr- lems and challenges for AI researchers. These challenges include the scalability of the personalization solutions, data integration, and successful integration of techniques from machine learning, information retrievaland ltering, databases, agent architectures, knowledge representation, data mining, text mining, stat- tics, user modelling and human computer interaction. Throughout the history of the Web, AI has continued to play an essential role in the development of Web-based information systems, and now it is believed that personalization will prove to be the killer-app for AI. 340 pp. Englisch.