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

di Andreas W. Neumann (Autore)

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2010

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.

• Autore: Andreas W. Neumann
• Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Collana: Contributions to Management Science
• Anno: 2010
• Rilegatura: Paperback / softback
• Pagine: 158 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783790825787

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