604 search results - page 13 / 121 » Preference Networks: Probabilistic Models for Recommendation... |
HICSS
2007
IEEE
14 years 1 months ago
2007
IEEE
Recommender Systems (RS) so far have been applied to many fields of e-commerce in order to assist users in finding the products that best meet their preferences. However, while th...
UM
2007
Springer
14 years 1 months ago
2007
Springer
Recommender systems are gaining widespread acceptance in e-commerce applications to confront the “information overload” problem. Collaborative Filtering (CF) is a successful re...
CCS
2010
ACM
13 years 10 months ago
2010
ACM
Recommender systems are used to predict user preferences for products or services. In order to seek better prediction techniques, data owners of recommender systems such as Netfli...
ECIR
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Implicit acquisition of user preferences makes log-based collaborative filtering favorable in practice to accomplish recommendations. In this paper, we follow a formal ap...
AI
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. We use a hierarchical Bayesian approach to model user preferences in different contexts or settings. Unlike many previous recommenders, our approach is content-based. We...