Toward a New Protocol to Evaluate Recommender Systems

The 18 runs resulted from the combination between different user’s request, each one in a specific context (see section 3.1.4) and all the nearby POIs recommended by the system..

Focusing on the interaction design of a radio player, we bring up and discuss these special challenges and find that in a radio recommender context, optimal interaction design

My PhD thesis goal is to study what kinds of context information there are in a recommender system, how many ways we can obtain this information (implicit, users introduce

Kessler, Just count the love-hate squares: a rating network based method for recommender system, in: Proceedings of KDD Cup Workshop at SIGKDD’11, the 13th ACM International

Given such inconsistency, the delayed rewards strategy buffers the computed reward r at for action a t at time t; and provides an indication to the RL Agent-Policy (π) to try

In general, we have observed that while all the considered RSs increase the awareness of the users of items not previously chosen, they have a different impact on the users’ choices

Graphs of forecast for shift rating depending of the attacked product on the Filler Size parameter for different push attack

Recommender systems ap- ply several data mining algorithms such as popularity-based meth- ods, collaborative- [67] and content-based filtering [58], hybrid tech- niques