Group affinity based social trust model for an intelligent movie recommender system

Citations

WEB OF SCIENCE

34
Citations

SCOPUS

44

초록

As many researchers have taken an interest in social networks with the development of the user-generated web, trust management and its application have come into the spotlight. User information that is extracted by behavior patterns and user profiles provides the essential relationship between individuals. In this paper, we propose an intelligent movie recommender system with a social trust model. The proposed system is based on a social network for analyzing social relationships between users and generated group affinity values with user profiles. In experiments, the performance of this system is evaluated with precision-recall and F-measures.

키워드

Social networks; Trust management; Recommender systems; Information technology; NETWORKS; EVOLUTION
제목
Group affinity based social trust model for an intelligent movie recommender system
저자
Kim, Mucheol; Park, Sang Oh
DOI
10.1007/s11042-011-0897-8
발행일
2013-05
유형
Article
저널명
Multimedia Tools and Applications
권
64
호
2
페이지
505 ~ 516