Automatic Web Content Organization based on User Actions

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Download Automatic Web Content Organization based on User Actions as PDF (791 KB) .

Title: Automatic Web Content Organization based on User Actions .
Author(s): Wenjie Li, Wenjuan Wang.
Published date: June 2007.
Published at: Distributed Systems 2007

Abstract


Rapid increase in data demands that we search a better way to accumulating useful information, when browsing searching engine. This web content organization is based on user experience. So we pay more attention to use association analysis in data mining and establish large distributed web portals between client and user. There are a variety of approachesof association rule, each one has its own merit and demerit. In order to find a new method of association with good quality in this project, we introduce MyApriori algorithm that is advanced on the basis of Apriori algorithm. Furthermore, by the comparison with FP-Growth algorithm, we also present the results of these two algorithms and give better suggestions on doing an automatic web content organization based on user actions.

The author of this document is:
Morten Goodwin
E-mail address is:
morten.goodwin ASCII 64 tingtun.no
Phone is:
+47 95 24 86 79

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