A Web Mining Approach for Personalized E-Learning System
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2014, Vol 5, Issue 3
Abstract
The Web Mining plays a very important role for the E-learning systems. In personalized E-Learning system, user customize the learning environment based on personal choices. In a general search process ,a hyperlink which is having maximum number of hits will get displayed first . For making a personalized system history of every user need to be saved in the form of user logs. In this paper we present a architecture with the use of Web mining for Web personalization. The proposed system provides a new approach with combination of web usage mining, HITS algorithm and web content mining. It combines hits results on user logs and web page contents with a clustering algorithm called as Lingo clustering algorithm. This proposed system with combined approach gives a better performance than a usage based system. Further the results are computed according to matrices computed from previous and proposed method.
Authors and Affiliations
Manasi Chakurkar, Prof. Deepa Adiga
Keywords
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- EP ID EP136593
- DOI 10.14569/IJACSA.2014.050306
- Views 92
- Downloads 0
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