Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (18): 163-171.DOI: 10.3778/j.issn.1002-8331.2005-0363

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Research of Group Recommendation Based on Contextual Semantics Reasoning and Social Network

LI Jinhai, HE Youshi, ZHANG Peng   

  1. 1.School of Computer Science and Technology, Taizhou University, Taizhou, Jiangsu 225300, China
    2.School of Management, Jiangsu University, Zhenjiang, Jiangsu 212013, China
    3.School of Economics and Management, Taizhou University, Taizhou, Jiangsu 225300, China
  • Online:2021-09-15 Published:2021-09-13



  1. 1.泰州学院 计算机科学与技术学院,江苏 泰州 225300
    2.江苏大学 管理学院,江苏 镇江 212013
    3.泰州学院 经济与管理学院,江苏 泰州 225300


As the development of group purchase and mobile terminal is escalating, the traditional recommendation mechanism on the problems of group recommendation gradually appeares disadvantages. In view of the context sensitivity of the group recommendation, this paper designs a preference analysis module based on the contextual semantics reasoning. It considers the long-term preference of consumers which form for a long time and short-term preference which form based on context. Each member of the group network is set to a node in complex network and the relationship between members are represented as the link of nodes. Then complex network of group users is built. This paper designs a social impact analysis module based on complex network. It uses for the division of community on group purchase and evaluation influence among members of the community. Based on this, the group recommendation study of two kind products on group platform is completed. Simulation results show that group recommendation mechanism based on contextual semantics reasoning and social network has a good validity and user feedback satisfaction.

Key words: context reasoning, complex network, user preference, group recommendation, social influence



关键词: 情境推理, 复杂网络, 用户偏好, 团购推荐, 社会影响