RWTH Aachen University
User preference learning is an important part of any recommender system. The authors will work with a scenario of users searching for some object. In this paper, they describe area of recommender systems, with focus on user preference learning problem. They describe such system and identify some interesting problems. They will compare how well different approaches cope with some of the problems. This paper may serve as an introduction to the area of user preference learning with a hint on some interesting problems that have not been solved yet.