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    Université de Fribourg

    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...