Recommender Systems for Information Providers
Produktnummer:
182be6081e02f84876bed10baea9629d07
| Autor: | Neumann, Andreas W. |
|---|---|
| Themengebiete: | Consumer buying behavior Internet Libraries Scientific Information Web 2.0 classification e-commerce |
| Veröffentlichungsdatum: | 21.10.2010 |
| EAN: | 9783790825787 |
| Sprache: | Englisch |
| Seitenzahl: | 158 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Physica |
| Untertitel: | Designing Customer Centric Paths to Information |
Produktinformationen "Recommender Systems for Information Providers"
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.
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