Affiner les résultats

Avoiding congestion in recommender systems

Ren, Xiaolong ; Lü, Linyuan ; Liu, Runran ; Zhang, Jianlin

In: New Journal of Physics, 2014, vol. 16, no. 6, p. 063057

Recommender systems use the historical activities and personal profiles of users to uncover their preferences and recommend objects. Most of the previous methods are based on objects' (and/or users') similarity rather than on their difference. Such approaches are subject to a high risk of increasingly exposing users to a narrowing band of popular objects. As a result, a few objects may be...