Discovering Users Navigation of Online Newspaper using Association Rules

Abstract

We analyse behaviour of non-subscribed users browsing an online newspaper. We collect Web server logs from a Malaysian online newspaper for 28 days in April 2012. Association rules are used to understand user behaviour based on their visits recorded on the Web server logs. We found that National section is mostly accessed, together with Sports and Entertainment. Further analysis on article pages showed that users tend to read the same genre of articles. Discussion on findings are compared with previous work are also presented.