Recommender Systems for Information Providers

• Main Author: Neumann, Andreas W.
• Format: Book
• Language: English
• Published: Springer 2017
• Subjects: Business and Economics
• Online Access: http://repository.vnu.edu.vn/handle/VNU_123/28476
• Institution: Vietnam National University, Hanoi

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.