摘要
针对信任推荐过程中难以鉴别恶意推荐的问题,提出一种基于相似性的信任推荐模型。模型中,借鉴社会心理学的研究成果,若两个用户在行为上具有较高的相似性,则表明他们更容易相信对方。把用户评分相似性作为信任推荐时的权重系数,理论分析和仿真结果表明:该模型可有效防范信任推荐中的恶意推荐行为,降低信任度的计算误差,从而提高信任评估的准确性。
It is difficult to distinguish the cheating and other malicious behaviours in the trust recommendation. A simi-larity-based trust recommended model was proposed. With social psychology research,two users are more likely to trust each other, when they have higher similarity in behaviours. Using similarity as trust recommendation weight, theoretical analyses and simulation results show that the model can effectively avoid malicious recommendation behaviour in trust recommendation. The model can reduce the calculation error of the trust remarkably compared with the existing model, and the preciseness of the trust evaluation model is enhanced greatly.
出处
《计算机科学》
CSCD
北大核心
2013年第10期132-134,158,共4页
Computer Science
基金
国家自然科学基金项目(71272086)
中央高校基本科研业务项目(CDJSK100076)
国家固态酿造工程技术研究中心项目(2011k162280)
重庆市教委人文社科项目(08jwsk141)资助
关键词
信任推荐
相似性
信任模型
Trust recommended, Similarity, Trust model
