Recommender Systems for Information Providers
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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.
| Untertitel | |
| H | B | T | Gramm | 241 mm | 160 mm | 14 mm | 424 gr |
| Erscheinungsjahr | 2009 |
| FSK | 0 |
| Ausgabe | Hardcover |
| Publisher | Buchpark GmbH, Krügerweg 1, 14959 Trebbin, Telefon: +4933817976585, E-Mail: info@buchpark.de |
| ISBN-10 | 3790821330 |
| ISBN-13 | 9783790821338 |
| Autor | Andreas W. Neumann |
| Sprache | Englisch |
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