Recommender Systems Handbook

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The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Ricci, Francesco (Editor ), Rokach, Lior (Editor ), Shapira, Bracha (Editor ), Kantor, Paul B. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Temas:
Artificial intelligence.
Information storage and retrieval systems.
Data mining.
Electronic commerce.
User interfaces (Computer systems).
Human-computer interaction.
Database management.
Artificial Intelligence.
Information Storage and Retrieval.
Data Mining and Knowledge Discovery.
e-Commerce and e-Business.
User Interfaces and Human Computer Interaction.
Database Management.
Acceso en línea:Texto Completo

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