Abstract: Based on the PageRank algorithm,this paper proposed an improved PageRank algorithm named Bias PageRank,which not only takes the link structure between pages into consideration,but also users’ feedback information,such as frequency of click and interval of recent click.Through comprehensively analyzing these information,BPR algorithm can make pages of high quality rise and pages of poor quality fall to a certain extent.Experiments indicate that BPR algorithm can improve the ranking result and users’ satisfaction.

Key words: Page rank,Link structure,User feedback,PageRank,Algorithm improv ement