Abstract:

In a highly dynamic and decentralized environment, where data are uncertain, Trust has become a key factor in the process of decision making. Trust-based recommendation is based base on Trust between users. It was the main subject of several studies such as: [10, 12, 15, 24]. In fact, for relevant recommendation, it is very important to define the adequate techniques for modeling and evaluating trust between agents. In this paper, we give a state of the art on modeling trust in recommender systems. Furthermore, we make a comparative study between various existing methods.