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	Mining User's Interest from Interactive Behaviors in QA System
	Zhongying Zhao; Shengzhong Feng; Yongquan Liang; Qingtian Zeng
	2009
会议名称	1st International Workshop on Education Technology and Computer Science, ETCS 2009
英文摘要	User interest model, as a key component of user model, is very important for personalized or user adaptive Elearning systems. In this paper, we propose an approach for mining user's interest frominteractive behaviors. We also develop and implement a domain-specific interactive QA systemoriented to Artificial Intelligence. The course ontology, predefined to describe the skeleton of AI course, is used to generate the structure of our interactive QA system. Students can pose and browse questions and answers on their favorite boards. The interactive behaviors, including whether student has pose a question, browsing and answering times, are considered to compute each student'sinterest. The experiment conducted to evaluate the performance of our approach indicates that our method can capture user's interest precisely.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/2653]
专题	深圳先进技术研究院_数字所
作者单位	2009
推荐引用方式 GB/T 7714	Zhongying Zhao,Shengzhong Feng,Yongquan Liang,et al. Mining User's Interest from Interactive Behaviors in QA System[C]. 见:1st International Workshop on Education Technology and Computer Science, ETCS 2009.

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