作者: Farman Ullah , Ghulam Sarwar , Sungchang Lee
DOI: 10.1016/J.PROTCY.2014.10.260
关键词: Precision and recall 、 Focus (computing) 、 Multimedia 、 Similarity (psychology) 、 IPTV 、 Collaborative filtering 、 Computer science 、 Personalization 、 Social network 、 Recommender system
摘要: Abstract In this paper, we propose a user social network and device capabilities aware recommender system to personalize content the current of user. The proposed presents some novelties that are not provided in existing collaborative content-based filtering. First all, incorporate data find similar users only using conventional similarities approach but also based on importance users. Furthermore, it considers access ensure is capable stream display. We present an experienced items, direct trust capability contributing for finding similarity. improve accuracy, precision recall system. can be used anywhere; however, mainly focus IPTV personalization.