摘要
针对如何对交友网站中的用户进行朋友推荐的问题,提出一种依据信任度进行朋友推荐的模型。通过用户之间的信任关系,建立信任模型,计算出该用户和其信任距离在3个跳转之内的所有其他用户的信任度。在计算用户之间的间接信任度时引入了衰减因子,改进了常见的间接信任度算法,从而达到依据信任度的高低依次对用户进行朋友推荐的目的。通过应用该模型对一个实例模型关系进行分析的结果表明,该朋友推荐模型能够有效地对用户进行朋友推荐,体现了用户对于有直接指向关系用户的信赖程度。
A friend recommendation model based on user trust degree is proposed to solve the problem that how to recommend a friend to dating site users. The trust model is constructed according to the trust relationship between users. With model, the trust degree of users whose trust distance is within 3 jumps can be calculated for the user under recommendation. Especially the common algorithm for indirect trust degree was improved by introducing attenuation factor in the calculation of the indirect trust degree among users, so as to recommend friends to users according to trust degree. The result of using the model to analyze the model relationship of a case shows that this model can recommend friends to the user effectively and can also reflects direct trust degree of the users.
出处
《现代电子技术》
北大核心
2015年第16期20-22,25,共4页
Modern Electronics Technique
基金
陕西省教育厅科研项目(14JK1864)
关键词
信任模型
信任度
衰减因子
朋友推荐模型
trust model
trust degree
attenuation factor
friend recommendation model
