期刊文献+

基于混合图的在线社交网络朋友推荐算法 被引量:10

Friend Recommendation Algorithm Based on Mixed Graph in Online Social Networks
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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
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参考文献11

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同被引文献101

  • 1周军锋,汤显,郭景峰.一种优化的协同过滤推荐算法[J].计算机研究与发展,2004,41(10):1842-1847. 被引量:103
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  • 3刘靖明,韩丽川,侯立文.基于粒子群的K均值聚类算法[J].系统工程理论与实践,2005,25(6):54-58. 被引量:122
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