In the past, a number of researches have been devoted to web mining. However, only page browsing behaviors have been studied. The actions performed in the pages were omitted. To the best of our knowledge, no previous researches were able to find out page-action browsing sequences. This paper proposes an algorithm, called WebPAN, to analyze customers’ browsing pages and their action paths. The algorithm’s efficiency was examined in our prototype. This study would help website managers to restructure their website layouts or advertisement positions more correctly in electronic commerce.
Knowledge-Based Intelligent Information and Engineering Systems
Lecture Notes in Computer Science Volume 3683, 2005, pp 1331-1337