TruRec: An Improved Trust-Based Recommendation in Cross-Domain

Wanrong Gu, Xianfen Xie, Ziye Zhang, Yichen He, Yijun Mao, Hailiang Li, Shishi Huang, Zaoqing Liang

Abstract: In Social Network, the research of recommendation system and trust relation can improve the accuracy of recommendation. The research of traditional recommendation algorithm based on trust relation is usually based on a single domain of interest without cross-domain research. In the real world, there are often multiple areas of interest between users. Based on this reality, this paper proposes a multi-interest domain recommendation framework based on trust relationship, and obtains better recommendation effect by solving the trust relationship. The experimental results show that the proposed method is superior to the traditional methods.