毛宇佳,刘学军,徐新艳,张欣.基于子组与社会行为的缩小群组推荐列表方法[J].计算机科学,2019,46(2):202-209
基于子组与社会行为的缩小群组推荐列表方法
Method Based on Sub-group and Social Behavior for Narrowing Recommended List for Groups
投稿时间:2018-06-14  修订日期:2018-09-12
DOI:
中文关键词:  群组推荐,子组,容忍度,利他行为,推荐列表
英文关键词:Group recommendation,Sub-group,Tolerance,Altruism,Recommended list
基金项目:本文受国家重点研发计划子课题(2017YFC0805605),江苏省重点研发计划项目(BE2015697,BE2017617)资助
作者单位E-mail
毛宇佳 南京工业大学计算机科学与技术学院 南京211816 myj.mao@qq.com 
刘学军 南京工业大学计算机科学与技术学院 南京211816 lxj_njgd@163.com 
徐新艳 南京工业大学计算机科学与技术学院 南京211816  
张欣 南京工业大学计算机科学与技术学院 南京211816  
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中文摘要:
      以多个用户为推荐对象的组推荐系统已成为研究热点。目前,组推荐系统大多考虑如何充分挖掘用户偏好来尽可能满足所有用户的需求,但这也造成了推荐列表规模过大的问题,从而导致群组成员无法快速做出决定。针对该问题,文中提出了一种缩小群组推荐列表的方法(Recommendation Method based on Sub-Group and Social Behavior,RMSGSB)。该方法通过划分子组来缩小群组规模并减少群组偏好属性数量,利用成员的社会行为,从容忍度与利他行为两方面为子组分配权重,以保证推荐公平性。在真实数据集上的实验对比结果表明,该算法具有更好的群组推荐效果。
英文摘要:
      Group recommend systems have been drawn a lot of attention for their capability of targeting users’ prefe-rence to satisfy all the users’ requirements,which cause the problem that the recommended list is too large simulta-neously, thus making it hard for group members to make their decisions.Regarding current issues,a method for narrowing the recommended list for groups called RMSGSB(A Recommendation Method based on Sub-group and Social Behavior) was proposed.In order to narrow the group scale and the amount of group preferences,the method divides the target group into several sub-groups.For guaranteeing the fairness of recommending,the weight of sub-groups is catculated according to the tolerance and altruism of group members’ social behavior.Based on real date set,the experiment results show that the proposed method has better performance than other methods on group recommendation.
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