Recommender Systems for Information Providers: Designing Customer Centric Paths to Information (Contributions to Management Science) - Tapa dura

Neumann, Andreas W.

 
9783790821338: Recommender Systems for Information Providers: Designing Customer Centric Paths to Information (Contributions to Management Science)
Tapa dura
ISBN 10: 3790821330 ISBN 13: 9783790821338
Editorial: Physica, 2009

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

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.

 

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Physica
Año de publicación
2009
Idioma
Inglés
ISBN 10 
3790821330
ISBN 13 
9783790821338
Encuadernación
Tapa dura
Número de páginas
172
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9783790825787: Recommender Systems for Information Providers: Designing Customer Centric Paths to Information (Contributions to Management Science)

Edición Destacada

ISBN 10:  3790825786 ISBN 13:  9783790825787
Editorial: Physica, 2010
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