Recommender Systems for Information Providers, 2009 Designing Customer Centric Paths to Information Contributions to Management Science Series
Auteur : Neumann Andreas W.
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.
Date de parution : 03-2009
Ouvrage de 158 p.
15.5x23.5 cm
Mots-clés :
Consumer buying behavior; Internet; Libraries; Scientific Information; Web 2.0; classification; e-commerce