Abstract
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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Yang, H. L., & Lin, Q. F. (2005). A new algorithm to discover page-action rules on web. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3683 LNAI, pp. 1331–1337). Springer Verlag. https://doi.org/10.1007/11553939_185
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