基于隐式信任和群体共识的群体推荐方法  

Group recommendation method based on implicit trust and group consensus

作　　者：李婷婷 楚俊峰 王燕燕 LI Tingting;CHU Junfeng;WANG Yanyan(School of Economics and Management,Fuzhou University,Fuzhou Fujian 350108,China;Decision Science Institute,Fuzhou University,Fuzhou Fujian 350108,China;School of Public Administration,Fujian Agriculture and Forestry University,Fuzhou Fujian 350002,China)

机构地区：[1]福州大学经济与管理学院,福州350108 [2]福州大学决策科学研究所,福州350108 [3]福建农林大学公共管理学院,福州350002

出　　处：《计算机应用》2024年第2期460-468,共9页journal of Computer Applications

基　　金：国家自然科学基金资助项目(72201066)。

摘　　要：针对现有群体推荐方法较少考虑群体成员间社会化关系的隐式估计以及利用群体共识减少偏好冲突的问题,提出一种基于隐式信任和群体共识的群体推荐方法(GR-TC),所提方法分为推荐阶段和共识阶段。在推荐阶段根据成员间偏好信息和社交关系挖掘隐式信任值,估计成员的个人偏好、权重和初始群体偏好;在共识阶段通过共识测量和识别规则识别不一致成员,建立最大和谐度优化共识模型,调整更新群体偏好,传递群体推荐列表。实验结果表明,成员间社交关系影响群体推荐结果,合理选择隐式信任权值会提高不一致成员的和谐度;相较于传统共识反馈机制,隐式信任诱导的最大和谐共识反馈机制调整成本更小,对不一致成员的影响更小。Focused on the issue that existing group recommendation methods take less account of the implicit estimation of socialization relationships among group members and the use of group consensus to reduce the influence of preference conflicts,a Group Recommendation method based on implicit Trust and group Consensus(GR-TC)was proposed.The method was divided into a recommendation phase and a consensus phase.In the recommendation phase,implicit trust values were mined based on preference information and social relationships among members.The members’individual preferences and weights,and the initial group preferences were estimated.In the consensus phase,inconsistent members were identified by consensus measurement and identification rules,a maximum harmony optimization consensus model was built,and the group recommendation list was obtained by adjusting and updating the group preferences.Experimental results show that social relationships among members affect group recommendation results,reasonable selection of implicit trust weights improves the harmony of inconsistent members.Compared with the traditional consensus feedback mechanism,the implicit trust-induced maximum harmony consensus feedback mechanism has less adjustment cost and less impact on inconsistent members.

关 键 词：群体推荐 群体共识 社交关系 隐式信任 群体偏好 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术] C934[自动化与计算机技术—计算机科学与技术]