A Novel Social Event Recommendation Method Based on Social and Collaborative Friendships

摘要: Many social network sites (SNSs) provide event functions to facilitate user interactions. However, it is difficult for users find interesting events among the huge number posted on such sites. In this paper, we investigate problem and propose a recommendation method that exploits user's collaborative friendships recommend of interest. As are one-and-only items, their ratings not available until they over. Hence, traditional methods incapable because need sufficient generate recommendations. Instead using ratings, analyze behavior patterns measure friendships. The aggregated identify acquaintances relevant preferences recommended. results experiments show proposed effective outperforms many well-known methods.