Mining User's Interest from Reading Behavior in E-learning System

Authors:
Yongquan Liang;Zhongying Zhao;Qingtian Zeng
Affiliations:
Shandong University of Science and Technology, China;Shandong University of Science and Technology, China;Shandong University of Science and Technology, China
Venue:
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 02
Year:
2007

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Intelligent user profiling

Artificial intelligence

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Abstract

A method based on reading behavior is proposed for capturing user's interest in E-learning System. A topic ontology is necessary to be predefined which can be used as the reference to construct user's interest model. A behavior table is generated by profile agent to record user's behaviors including underline, highlight, circle, annotation and bookmark. We adopt a behavior matrix and weight matrix to compute the user's interests in each leaf topic in the topic ontology. The user's interest about the topic ontology can be extended via support factor. An experiment is conducted to estimate the performance of our approach. It shows that our approach can capture user's interest precisely.