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.
Schlagwörter zu:
Recommender Systems for Information Providers von Andreas W. Neumann - mit der ISBN: 9783790821345
Consumer buying behavior; Internet; Libraries; Scientific Information; Web 2.0; classification; e-commerce; C; e-Commerce and e-Business; IT in Business; Library Science; Business and Management, Online-Buchhandlung
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