1Imen GMACH, 2Samreen JAFRI, 3Naoufel MAHFOUDH and 4Lotfi KHRIFISH
1,2,3 Imam Abdulrahman Bin Faisal University, Community College, Arabie Saoudite
4 FSEG Sfax, Sfax,tnisie
Volume 2021 (8),
Article ID 37178421,
Innovations in Artificial Intelligence, Machine Learning and Intelligent Systems: 37AI 2021
Abstract
This paper focuses on the state of the art of recommender systems. It presents various technical recommendations mentioned in the literature, primarily the basic content filtering, collaborative filtering and hybrid filtering. It comes to study different recommendation algorithms based on trust. The article also introduces the concept of trust in recommender systems. And it ends with a summary of the various existing approaches by developing the link between trust and recommender systems.
Keywords: Confidence Algorithms, Collaborative Filtering, Information Search, Filtering Approaches, Systems of Recommendations, Trust.