This work takes place in the context of hierarchical stochastic models for the resolution of discrete inverse problems from low level vision. Some of these models lie on the nodes...
Matrix factorization (MF) has been demonstrated to be one of the most competitive techniques for collaborative filtering. However, state-of-the-art MFs do not consider contextual...
Computational trust and reputation models have been recognized as one of the key technologies required to design and implement agent systems. These models manage and aggregate the...
Ratings (also known as recommendations) provide an efficient and effective way to build trust relationship in the human society, by making use of the information from others rathe...
Personalization systems exploit preferences for providing users with only relevant data from the huge volume of information that is currently available. We consider preferences th...