Computer Science ›› 2014, Vol. 41 ›› Issue (3): 110-115.

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User Behavior Analysis Based on Web Browsing Logs

GUO Jun-xia,GAO Cheng,XU Nan-shan and LU Gang   

  • Online:2018-11-14 Published:2018-11-14

Abstract: With the long-term accumulation of the Q & A community information,there is more and more outdated information indexed by search engines, bringing inconvenience to users.The log of a user’s browsing-behaviors contains the user’s behavioral intentions and habits,which can help analyze timeliness of the information.This paper proposed a query-process-division method for users’ browsing logs.Based on this method,a large number of real users’ browsing historical records were statistically analyzed.The results show that in average,a user browses 8.05Web pages in 6.28minutes for one query.In addition,nearly 1/3of total queries carry out concurrently and alternately.It is also found that users rely on inner-site searching more.By analyzing the browsing historical records of a community site,we found that the users are not satisfied with the query results mainly because of the non-high-related results.Out-of-date information is only a small part in the query results.

Key words: Web browsing logs,User behavior analysis,Web page timeliness,CQA

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