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Recommender Systems for Information Providers Designing Customer Centric Paths to Information /

Information providers are a very promising application area of recommender systems due to the general problem of assessing the quality of information products prior to the purchase. Recommender systems automatically generate product recommendations: customers profit from a faster finding of relevant...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Neumann, Andreas W. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2009.
Edición:1st ed. 2009.
Colección:Contributions to Management Science,
Temas:
Acceso en línea:Texto Completo
Descripción
Sumario:Information providers are a very promising application area of recommender systems due to the general problem of assessing the quality of information products prior to the purchase. Recommender systems automatically generate product recommendations: customers profit from a faster finding of relevant products, stores profit from rising sales. All aspects of recommender systems are covered: the economic background, mechanism design, a survey of systems in the Internet, statistical methods and algorithms, service oriented architectures, user interfaces, as well as experiences and data from real-world applications. Specific solutions for areas with strong privacy concerns, scalability issues for large collections of products, as well as algorithms to lessen the cold-start problem for a faster return on investment of recommender projects are addressed. This book describes all steps it takes to design, implement, and successfully operate a recommender system for a specific information platform. .
Descripción Física:X, 158 p. 47 illus. online resource.
ISBN:9783790821345
ISSN:2197-716X