改进PageRank算法的网页权重分析  

Analysis of Web Page Importance Based on Improved PageRank Algorithm

作　　者：黄艳 李朝荣[1] HUANG Yan;LI Chaorong(Faculty of Artificial Intelligence and Big Data,Yibin University,Yibin,Sichuan 644000,China)

机构地区：[1]宜宾学院人工智能与大数据学部,四川宜宾644000

出　　处：《宜宾学院学报》2022年第6期6-8,41,共4页Journal of Yibin University

基　　金：中央引导地方科技发展专项资金项目(2021ZYD0020);四川省教育厅基金项目(12ZB347);宜宾学院科技培育项目(2021YY06);宜宾学院教改项目(JGZ202117)。

摘　　要：PageRank算法用离线方式分析网页之间的链接计算网页权重,具有响应速度快等特点,但未考虑环境和主题相关等因素的影响.对此,提出采用网页点击率和时间因素,结合网页的重要性来计算网页的权重.模拟实验和分析表明,改进的算法能够根据网页的点击率和存在时间动态调整网页排序结果,比原始的PageRank算法产生的排序更加合理.PageRank algorithm uses an offline method to calculate the weight of web pages,which has the characteristics of fast response speed,but lacks consideration of environmental and topic-related factors.In view of the shortcomings of PageRank,it is proposed to calculate the weight of web pages by adopting the use of web page click-through rate and time factors and combin⁃ing the importance of the web pages.Simulation experiments and analysis show that the improved algorithm is more reasonable than the original PageRank algorithm.

关 键 词：PAGERANK算法 网页排序 搜索引擎 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]