Top-N Recommendation Based on Mutual Trust and Influence
作者: Dewen SengJiaxin LiuXuefeng ZhangJing ChenXujian Fang
刊名: International Journal of Computers Communications & Control, 2019, Vol.14 (4), pp.540-556
来源数据库: Agora University
DOI: 10.15837/ijccc.2019.4.3578
关键词: Mutual trustMutual influenceSocial recommendation systemCold startData sparsity
原始语种摘要: To improve recommendation quality, the existing trust-based recommendation methods often directly use the binary trust relationship of social networks, and rarely consider the difference and potential influence of trust strength among users. To make up for the gap, this paper puts forward a hybrid top-N recommendation algorithm that combines mutual trust and influence. Firstly, a new trust measurement method was developed based on dynamic weight, considering the difference of trust strength between users. Secondly, a new mutual influence measurement model was designed based on trust relationship, in light of the social network topology. Finally, two hybrid recommendation algorithms, denoted as FSTA(Factored Similarity model with Trust Approach) and FSTI(Factored similarity models with...
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  • trust 相信
  • recommendation 建议
  • considering 鉴于
  • influence 影响
  • similarity 相似性
  • mutual 互相
  • existing 现行
  • Data 数据
  • users 使用者
  • measurement 测量