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.
| ISBN: | 9783790825787 |
| Publication date: | 21st October 2010 |
| Author: | Andreas W Neumann |
| Publisher: | Physica an imprint of Physica-Verlag HD |
| Format: | Paperback |
| Pagination: | 158 pages |
| Series: | Contributions to Management Science |
| Genres: |
Business mathematics and systems E-commerce: business aspects Computer applications in the social and behavioural sciences Library and information sciences / Museology Business applications |
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.
Recommender Systems for Information Providers features in the following genres: Business mathematics and systems, E-commerce: business aspects, Computer applications in the social and behavioural sciences, Library and information sciences / Museology, Business applications
Recommender Systems for Information Providers is available in Paperback, Hardback
Recommender Systems for Information Providers was written by Andreas W Neumann and published by Physica an imprint of Physica-Verlag HD
Recommender Systems for Information Providers has 158 pages
Yes it is part of Contributions to Management Science series