Recommendation systems are a powerful tool that is an integral part of great many websites. Most often, recommendations presented in the form list generated by using various recommendation methods. Typically, however, these methods do not generate identical recommendations, and their effectiveness varies between users. In order to solve this problem, application aggregation techniques was sugge...

Social recommendation systems based on the graph neural network (GNN) have received a lot of research-related attention recently because they can use social information to improve accuracy and benefits derived from excellent performance in graphic data modeling. A large number studies this area been proposed one after another, but all share common requirement that should be centrally stored. In...

Abstract Offering timely support to users in eCoaching systems is a key factor keep them engaged. However, coaches usually follow lot of users, so it hard for prioritize those with whom they should interact first. Timeliness especially needed when health implications might be the consequence lack support. In this paper, we focus on last scenario, by considering an platform runners. Our goal pro...

Recommendation systems have been widely used in many internet activities and their importance is increasing due to the information overload problem arising from internet. This paper gives background and some example of the RS current usage domains, the different recommendation systems approaches. In addition, the paper discusses the recommendation systems ability using in the learning managemen...