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Personalization techniques and recommender systems /

The phenomenal growth of the Internet has resulted in huge amounts of online information, a situation that is overwhelming to the end users. To overcome this problem, personalization technologies have been extensively employed. The book is the first of its kind, representing research efforts in the...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Uchyigit, Gulden, Ma, Matthew Y.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : World Scientific, ©2008.
Colección:Series in machine perception and artificial intelligence ; v. 70.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:The phenomenal growth of the Internet has resulted in huge amounts of online information, a situation that is overwhelming to the end users. To overcome this problem, personalization technologies have been extensively employed. The book is the first of its kind, representing research efforts in the diversity of personalization and recommendation techniques. These include user modeling, content, collaborative, hybrid and knowledge-based recommender systems. It presents theoretic research in the context of various applications from mobile information access, marketing and sales and web services,
Descripción Física:1 online resource (x, 323 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9812797025
9789812797025