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Received:August 26, 2015 Revised:October 19, 2015
Received:August 26, 2015 Revised:October 19, 2015
中文摘要: 针对现有评价模型中的恶意评价问题,提出了一种改进的基于博弈论的评价反馈激励方法.在基于内容推荐方法中引入用户权威值,用户评价时动态调整反馈函数,利用博弈论方法建立在一定概率下一个参与人,延伸到多个参与人和多个内容情况下的信任评估激励机制.仿真结果显示,根据用户权威计算内容信任值,可以激励用户通过正确的选择提高自身信任值,并且能够实现正确内容的信任值合理增加.
Abstract:In order to solve malicious evaluation problems in evaluation model, an improved evaluation model with feedback incentive based on game theory is proposed. The model introduce user's authority into the content-based recommendations model give feedback points with nodes. The model can adjust feedback function dynamically when evaluation. The model with trust evaluation incentive mechanism is established by game theory including one node, a plurality of nodes and a plurality of content. The results showed that evaluation of trust value with authority value would facilitate reasonable choice and the same time, the content trust values increased reasonably.
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基金项目:甘肃省高等学校特色专业(080901);甘肃省科技支撑计划(2014GS03891)
引用文本:
刘雪亮,胡晓辉.社会网络中信任评价博弈模型.计算机系统应用,2016,25(5):218-221
LIU Xue-Liang,HU Xiao-Hui.Trust Valuation Model Based on Game Theory in Social Network.COMPUTER SYSTEMS APPLICATIONS,2016,25(5):218-221
刘雪亮,胡晓辉.社会网络中信任评价博弈模型.计算机系统应用,2016,25(5):218-221
LIU Xue-Liang,HU Xiao-Hui.Trust Valuation Model Based on Game Theory in Social Network.COMPUTER SYSTEMS APPLICATIONS,2016,25(5):218-221