Recommender Systems for Information Providers
Autor: | Neumann, Andreas W. |
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EAN: | 9783790821338 |
Sachgruppe: | Wirtschaft |
Sprache: | Englisch |
Seitenzahl: | 168 |
Produktart: | Gebunden |
Veröffentlichungsdatum: | 20.03.2009 |
Untertitel: | Designing Customer Centric Paths to Information |
Schlagworte: | E-Business E-Venture Electronic Commerce - E-Commerce Internet / Electronic Commerce Internet / Suchmethoden, Spezielle Anwender Internet / Wirtschaft, Recht Net Economy |
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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.