本文已被:浏览 1818次 下载 2567次
Received:September 10, 2010 Revised:October 16, 2010
Received:September 10, 2010 Revised:October 16, 2010
中文摘要: 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。
Abstract: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.
keywords: personalized recommendation network bookmark mass organization structure cooperation filtration information bridge
文章编号: 中图分类号: 文献标志码:
基金项目:国家自然科学基金(50874059);辽宁工程技术大学第三届研究生科研立项(Y201000503)
引用文本:
王世云,王志军,李运杰.一种基于网络书签的个性化信息推荐方法.计算机系统应用,2011,20(5):180-183,173
WANG Shi-Yun,WANG Zhi-Jun,LI Yun-Jie.A Personalized Information Recommendation Method Based on Network Bookmark.COMPUTER SYSTEMS APPLICATIONS,2011,20(5):180-183,173
王世云,王志军,李运杰.一种基于网络书签的个性化信息推荐方法.计算机系统应用,2011,20(5):180-183,173
WANG Shi-Yun,WANG Zhi-Jun,LI Yun-Jie.A Personalized Information Recommendation Method Based on Network Bookmark.COMPUTER SYSTEMS APPLICATIONS,2011,20(5):180-183,173