计算机应用 ›› 2012, Vol. 32 ›› Issue (06): 1666-1669.DOI: 10.3724/SP.J.1087.2012.01666

• 人工智能 • 上一篇    下一篇

基于网站影响力的网页排序算法

张芳,郭常盈   

  1. 南阳理工学院 计算机科学与技术系,河南 南阳 473004
  • 收稿日期:2011-11-22 修回日期:2012-01-31 发布日期:2012-06-04 出版日期:2012-06-01
  • 通讯作者: 张芳
  • 作者简介:张芳(1980-),女,湖北钟祥人,讲师,硕士研究生,主要研究方向:信息安全、网络搜索;〓郭常盈(1978-),女,河南新乡人,讲师,硕士研究生,主要研究方向:网络通信。
  • 基金资助:
    河南省教育厅自然科学基金项目

New page ranking algorithm based on website force

ZHANG Fang,GUO Chang-ying   

  1. Department of Computer Science and Technology, Nanyang Institute of Technology, Nanyang Henan 473004,China
  • Received:2011-11-22 Revised:2012-01-31 Online:2012-06-04 Published:2012-06-01
  • Contact: ZHANG Fang

摘要: 传统的排序算法主要是根据网页之间的链接关系进行排序,没有考虑到网站与网页之间互相增强的关系和用户对网页的重要性的评价。为此提出了一种基于更新时间、网页权威性和用户对网页的反映的相关排序算法。该算法以网站为节点计算每个网站权威值,在为网页分配权威值时考虑了网页在网站内的位置和用户对其的反映,并通过网站与网页之间相互影响的关系来相互反馈。实验结果表明,与传统的PageRank、HITS等排序算法相比,该算法在检索性能上有明显提高。

关键词: 网页排序, 相关度, 认可度, 更新率, 信息反馈

Abstract: The traditional sorting algoritm merely works on interlinks among web pages while putting aside the mutually reinforcing relationship between sites and pages and user evaluation of the web pages. A novel page ranking algorithm is developed to analyze update time, web-based authority and user reflected. The algorithm reckoned on a website node for each site authoritative value, in the webpage distribution authority value considered the webpage at the site location and the users of its reflection, and through the website and the webpage interact relationship to mutual feedback. The experimental results show that, compared with the traditional PageRank、HITS and other ranking algorithm, the algorithm has obvious improvement in retrieval performance.

Key words: page ranking, correlation, approval, update rate, information feedback

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