Recommender Systems for Information Providers [electronic resource] : Designing Customer Centric Paths to Information / by Andreas W. Neumann.

9783790821345

Heidelberg : Physica-Verlag HD, 2009.

1 online resource (X, 158 p.) 47 illus.

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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. .

Springer ENIN.

Books / Online

English

September 25, 2018

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