Improvement of PageRank Algorithm: An Authoritative and Temporal Based Approach
PageRank Algorithm, based on the link analysis, has been widely used to measure the popularity of the web pages. However, in the classical algorithm, the transition probability of the certain page is distributed equally by the pages out-links, which does not meet the real actions on WWW. This paper, investigates the authoritative factor (based on the link analysis) and the temporal factor in accessing the importance of web pages. It is believed that web pages with large in-links or out-links (we call them authoritative ones) and newly pages are more attractive towards the visitors. Hence, the extended algorithm, Weighted Authoritative and Temporal Ranking Algorithm (WAT-Ranking), takes these aspects into account via re-distributing the transition probabilities. Simulation experimental results show that the proposed strategy can improve the quality of the page ranking.
Pagerank surf model transition probability authoritative temporal
Shu-Hua Chen Han Yan Jian-Cheng Li Jun-Jie Wang Yu-Ting Mao Jun Liu
Department of the Computer Science Wuhan University Wuhan, 430072, China
国际会议
重庆
英文
1294-1297
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）