计算机工程2019，Vol.45Issue(3)：132-137,6.DOI:10.19678/j.issn.1000-3428.0049724
基于用户交互的社交网络好友推荐算法
Social Network Friend Recommendation Algorithm Based on User Interaction
摘要
Abstract
In order to recommend friends to users more efficiently in social network, the interaction behavior in micro-blog social network is analyzed.Considering the network structure, user attributes and user interaction characteristics, the possibility of establishing friendship among users is calculated.On this basis, a friend recommendation algorithm for social network based on user interaction is proposed.Experimental results show that the proposed algorithm is more accurate than the algorithm which only considers the network topology or user attributes.关键词
社交网络/好友推荐/链路预测/用户交互/用户属性Key words
social network/friend recommendation/link prediction/user interaction/user attributes分类
信息技术与安全科学引用本文复制引用
龙增艳,陈志刚,徐成林..基于用户交互的社交网络好友推荐算法[J].计算机工程,2019,45(3):132-137,6.基金项目
国家自然科学基金重点项目(71633006) （71633006）
国家自然科学基金面上项目(61672540) （61672540）
中南大学中央高校基本科研业务费专项资金(2017zzts725). （2017zzts725）
