Generalization of recommender systems: Collaborative filtering extended to groups of users and restricted to groups of items

作者：Bobadilla Jesus^*; Ortega Fernando; Hernando Antonio; Bernal Jesus

来源：Expert Systems with Applications, 2012, 39(1): 172-186.

DOI：10.1016/j.eswa.2011.07.005

• Recommender systems
• Collaborative filtering
• Generalization
• Users items

In this paper we present a collaborative filtering method which opens up the possibilities of traditional collaborative filtering in two aspects: (1) it enables joint recommendations to groups of users and (2) it enables the recommendations to be restricted to items similar to a set of reference items. By way of example, a group of four friends could request joint recommendations of films similar to %26quot;Avatar%26quot; or %26quot;Titanic%26quot;. In the paper, using experiments, we show that the traditional approach of collaborative filtering does not satisfactorily resolve the new possibilities contemplated: we also provide a detailed formulation of the method proposed and an extensive set of experiments and comparative results which show the superiority of designed collaborative filtering compared to traditional collaborative filtering in: (a) number of recommendations

• 出版日期2012-1