Abstract : Recommender Systems are widely used to achieve a pre-selection of items among a constantly growing variety of items. Last generation of recommender systems take into account trust between users. In this article, we propose several trust-based recommendation formulas that keep centered around the end- user and thus restrict information sharing to the user vicinity. Our proposed RS does not need any global knowledge : it limits data exchange to trusted friendship relations. A comparison of the proposed recommendation formulas with more classical ones is finally proposed, based on two kinds of simulation.
Simon Meyffret, Lionel Médini, Frédérique Laforest. User-centric Trust-based Recommendation. International Conference on Information Technology - New Generations, Apr 2012, Las Vegas, United States. pp.707-713. ⟨hal-01010232⟩
