Improved ranking algorithm based on two-stage correction
Liu En-ha · Jisuanji gongcheng yu sheji · 2014
Classic PageRank algorithm analyzed the sort of pages mainly based on link structure of web pages,so this algorithm easily lead to topic-drift,emphasis on old pages,evenly distributed web weight,ignorunce of the user interest and other issues. To overcome these defects,an improved ranking algorithm based on two-stage correction was proposed. Firstly,using the web similarity,click traffic trends,authority,and the time factors to correct the ranking value of web page. Then,on these basis,combining with user's interest to conduct the secondary correction for the query results. It could make the web pages importance of weight calculation more reasonable.At last,the experiment was conducted by three groups including graduates,students and the teachers. The experimental results showed that,compared with conventional PageRank algorithm,the improved algorithm has higher precision,and better met the needs of users.