摘要
针对在线社交网络朋友推荐问题,尝试融合多个社会网络为一个混合图模型,采用基于混合图模型的重启动随机游走算法,为用户提供个性化的朋友推荐,并通过参数调节多个网络的权重。实验表明,该算法提高了在线社交网络朋友推荐的准确性。
Aiming at the friend recommendation in online social networks, this paper tries to fuse multiple social net-works into one mixed graph on which the random walk with restart is implemented to provide personalized friend recomendation for users. The different roles of these networks are adjusted by parameters. Experiment demonstrates that this algorithm can improve the accuracy of friend recommendation in online social networks.
出处
《现代图书情报技术》
CSSCI
北大核心
2011年第11期54-59,共6页
New Technology of Library and Information Service
关键词
在线社交网络
朋友推荐
重启动随机游走
Online social networks Friend recommendation Random walk with restart