Improved PageRank algorithm based on feedback of user clicks

This paper analyzes the PageRank algorithm, find out its disadvantages and put forward an improved PageRank algorithm. Based on the behavior of user clicks, this algorithm on the one hand collects the clicks of result pages and the recently click time of result pages, on the other hand set the weight of clicks and click time as formula parameters of PageRank algorithm, and verify this algorithm does improve the precision ratio of search engines through experiments.