基于网站影响力的网页排序算法

摘要

The traditional sorting algorithm 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 new page ranking algorithm was developed based on update time, Web-based authority and feedback from users. The algorithm reckoned on a website node for each site authoritative value. While distributing the authority value, the site location of the webpage and the feedback from users were taken into account. Meanwhile, the mutual-influencing relationship between website and webpages was used to get mutul-feeback. The experimental results show that, compared with the traditional PageRank, HITS and other ranking algorithms, the algorithm has obvious improvement in retrieval performance.%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.