计算机应用与软件2012，Vol.29Issue(4)：39-43,5.
基于用户偏好的社会网络二级人脉推荐研究
SECOND-LEVEL CONTACTS RECOMMENDATION OF SNS BASED ON USERS PREFERENCES
摘要
Abstract
The contacts relationship research of the customers in Social Network Service ( SNS) is often based on graph theory. The nodes and the edges of the relationship graph of SNS are often discussed without considering the preference of customers themselves. Thus, a second-level contacts recommendation method based on preference of users is proposed in this paper. The LMS algorithm is used to transform the preference of customers into the eigenvectors of users preferences reasonably. We compute customers similarity by using similarity measurement method in order to decide the customer set closest to the preference of customers and to complete the recommendation of second-level friends of the customers. Experimental results show that this algorithm has higher accuracy in recommendation of good friends.关键词
社会网络/LMS算法/好友推荐/用户特征向量Key words
Social network site/LMS algorithm/Recommendation of good friends/Users eigenvector分类
信息技术与安全科学引用本文复制引用
于海群,刘万军,邱云飞..基于用户偏好的社会网络二级人脉推荐研究[J].计算机应用与软件,2012,29(4):39-43,5.基金项目
国家自然科学基金项目(61172144). （61172144）
