一种基于网络书签的个性化信息推荐方法

摘要

For the present Internet information detonation type grew, this paper proposed a kind personalized information recommendation method based on the Web mining. It introduced the personalized recommendation's flow and realizes model, and profits from the complex network the mass organization structure division method. It proposed personalized information recommendation method based on the network bookmark, analyzed in the mass organization based on the cooperation filtration and the mass organization based on “the information bridge” personalized information recommendation. Through the experiment this method is proved to be effective in the individualized information recommendation.%针对目前Internet上信息的爆炸式增长,提出了一种基于Web挖掘的个性化信息推荐方法,介绍了个性化推荐的流程和实现模型,并借鉴复杂网络中的社团结构划分方法,提出了基于网络书签的个性化信息推荐方法,分析了社团内基于协作过滤和社团间基于"信息桥"的个性化信息推荐,并通过实验验证了此方法在个性化信息推荐中是有效的.