Recommender Systems for Information Providers

Designing Customer Centric Paths to Information

von Andreas W. Neumann

158 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.

• Reihe: Contributions to Management Science
• Themen: Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management Betriebswirtschaft und Management Wirtschaftsmathematik und -informatik, IT-Management
• ISBN: 9783790821338
• Sprache: Englisch
• Erscheinungsdatum: 20.03.2009
• Größe: 23.5 x 15.5 cm
• Verlag: Physica