IEEE Access | 卷:6 |
Recommendation With Social Roles | |
Chen Lin1  Jie Huang1  Dugang Liu1  | |
[1] Department of Computer Science, School of Information Science and Technology, Xiamen University, Xiamen, China; | |
关键词: Social role; recommender system; social recommendation; matrix factorization; | |
DOI : 10.1109/ACCESS.2018.2832185 | |
来源: DOAJ |
【 摘 要 】
Social recommender is an active research area. Most previous social recommenders adopt existing social networks to augment recommendations which are based on user preferences. In this contribution, we propose to simultaneously infer the social influence network and the user preferences in a matrix factorization framework. Furthermore, we assume that the influence strength is dependent on the social roles of users. We present an incremental clustering algorithm to detect dynamic social roles. Comprehensive experiments on real data sets demonstrate the efficiency and effectiveness of our model to generate precise recommendations.
【 授权许可】
Unknown