基于多权重因子的PageRank算法改进  

PageRank Algorithm Improvement Based On Various Factors

作　　者：温韬[1] 朱敏[1] 周科[1] 闫二辉[1] 

机构地区：[1]四川大学计算机学院

出　　处：《微计算机信息》2012年第9期422-424,共3页Control & Automation

摘　　要：现有PageRank算法的多种改进研究,对新网页歧视、语言差异歧视、主题漂移、忽视用户浏览兴趣等问题仍然没有给出较好的解决方案。本文提出改进算法TWPR(PageRank based on Three Weights)。该算法将时间特性分析、语言链接结构分析和用户行为相结合,旨在提升更新较快、链接行为优良、用户感兴趣度高的中文网页PR值。实验证明,改进算法可有效提高网页检索的命中率,改善搜索质量。PageRank algorithm improvement has been an important subject of scholarly research,but the needle discrimination against new pages,language differences,discrimination,topic drift,ignore user behavior and other issues has not been a better solution.This detailed put forward the new improve algorithm TWPR（PageRank based on three weights）,aims to enhance the rapid update of the PR value of the chinese web which is updated quickly,link behacior excellent and high interest of user.Experiments show that the improved algorithm can improve web page hit rate,and improvesearch quality.

关 键 词：PAGERANK 搜索 网页链接 用户行为 PR值 

分 类 号：TP393.0[自动化与计算机技术—计算机应用技术]