Mining User's Interest from Interactive Behaviors in QA System
文献类型：会议论文
| 作者 | Zhongying Zhao; Shengzhong Feng; Yongquan Liang; Qingtian Zeng |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：深圳先进技术研究院
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