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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.
| Autorius: | Andreas W. Neumann |
| Serija: | Contributions to Management Science |
| Leidėjas: | Physica-Verlag HD |
| Išleidimo metai: | 2010 |
| Knygos puslapių skaičius: | 168 |
| ISBN-10: | 3790825786 |
| ISBN-13: | 9783790825787 |
| Formatas: | 235 x 155 x 10 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Recommender Systems for Information Providers: Designing Customer Centric Paths to Information“
