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, to library and personalized Tv recommendation systems. This volume will serve as a basis to researchers who wish to learn more in the field of recommender systems, and also to those intending to deploy advanced personalization techniques in their systems.
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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, to library and personalized TV recommendation systems.This volume will serve as a basis to researchers who wish to learn more in the field of recommender systems, and also to those intending to deploy advanced personalization techniques in their systems.
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Librería: BoundlessBookstore, Wallingford, Reino Unido
Hardcover. Condición: Good. VG condition book with dust jacket. DJ is clean, has fresh colours and has little wear to edges. Book has clean and bright contents. 323pp. Nº de ref. del artículo: 9999-9996100645
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Librería: BOOKWEST, Phoenix, AZ, Estados Unidos de America
Hardcover. Condición: New. SHRINK-WRAPPED NEW: Personalization Techniques and Recommender Systems Hardcover 2008 Personalization Techniques and Recommender Systems (Machine Perception and Artificial Intelligence) by Gulden Uchyigit (Editor), Matthew Y Ma (Editor) OUR REFERENCE: VLA6-SK5-HC-9812797017-1P4-14 DESCRIPTION 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, to library and personalized TV recommendation systems.This volume will serve as a basis to researchers who wish to learn more in the field of recommender systems, and also to those intending to deploy advanced personalization techniques in their systems. Product details ASIN ‏ : ‎ 9812797017 Publisher ‏ : ‎ World Scientific Publishing Company (April 7, 2008) Language ‏ : ‎ English Hardcover ‏ : ‎ 336 pages ISBN-10 ‏ : ‎ 9812797017 ISBN-13 ‏ : ‎ 9789812797018. Nº de ref. del artículo: VLA5-SK-HC-9812797017-1P4-B12
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Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Nº de ref. del artículo: ABBB-115660
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Librería: Majestic Books, Hounslow, Reino Unido
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Librería: Revaluation Books, Exeter, Reino Unido
Hardcover. Condición: Brand New. illustrated edition. 336 pages. 9.50x6.25x0.75 inches. In Stock. Nº de ref. del artículo: zk9812797017
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