Bibliographic Details
| Title: |
A Dynamics Recommendation System Based on Log Mining. |
| Authors: |
Gao, Wen, Wang, Shi, Liu, Bin |
| Source: |
International Journal of Foundations of Computer Science. Aug2002, Vol. 13 Issue 4, p521. 10p. 5 Diagrams, 3 Charts. |
| Subjects: |
Website authoring programs, Web development, Web portals |
| Abstract: |
This paper presents a new real-time, dynamic web page recommendation system based on web-log mining. The visit sequences of previous visitors are used to train a classifier for web page recommendation. The recommendation engine identifies a current active user, and submits its visit sequence as an input to the classifier. The output of the recommendation engine is a set of recommended web pages, whose links are attached to bottom of the requested page. Our experiments show that the proposed approach is effective: the predictive accuracy is quite high (over 90%), and the time for the recommendation is quite small. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |
