Interact-friend recommender system on Chinese Micro-blog based on structure balance
Xingwei Lu, Yajun Du · 2016
Nowadays, Chinese Micro-blog(CM) is a huge online social network which has abundant interaction information. So, an efficient user recommendation method can significantly improve the user experience of CM. In this paper, it proposes a new method for construct an interact-friend recommender system on CM based on structure balance to solve this problem. They define a similarity formula in the improved simple positive and negative relationship model. The results of experiments showed that the method proposed in this paper is effective.