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

  • Wanrong Gu
  • Xianfen XieEmail author
  • Ziye Zhang
  • Yichen He
  • Yijun Mao
  • Hailiang Li
  • Shishi Huang
  • Zaoqing Liang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1075)

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.

Keywords

Recommendation Trust-based Multi-interest 

Notes

Acknowledgments

This work was financially supported by Guangdong Natural Science Foundation Project (2018A030313437) Ministry of Education Humanities and Social Sciences Research Youth Fund Project (18YJCZH037) and Guangdong Science and Technology Program Project (2018A070712021).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Wanrong Gu
    • 1
  • Xianfen Xie
    • 2
    Email author
  • Ziye Zhang
    • 3
  • Yichen He
    • 1
  • Yijun Mao
    • 1
  • Hailiang Li
    • 2
  • Shishi Huang
    • 1
  • Zaoqing Liang
    • 1
  1. 1.South China Agriculture UniversityGuangzhouChina
  2. 2.Jinan UniversityGuangzhouChina
  3. 3.South China University of TechnologyGuangzhouChina

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