What Are Recommender Systems?
The recommendation system is to use [1] e-commerce websites to provide customers with product information and suggestions, to help users decide what products to buy, and to simulate sales staff to help customers complete the purchase process. Personalized recommendation is to recommend information and products that users are interested in to users according to their characteristics of interest and purchase behavior.
- In March 1995, Robert Armstrong of Carnegie Mellon University and others proposed the personalized navigation system Web Watcher on the American Artificial Intelligence Association;
- University of Minnesota GroupLens (John Riedl, Joseph A. Konstan)
- University of Michigan (Paul Resnick)
- Carnegie Mellon University (JaimeCallan)
- Microsoft Research (Ryen W. White)
- New York University (Alexander Tuzhilin)
- Percentage Technology Team (Baifendian)