Question difficulty evaluation by knowledge gap analysis in Question Answer communities

Chih Lu Lin, Ying Liang Chen, Hung Yu Kao

研究成果: Conference contribution

7 引文 斯高帕斯(Scopus)

摘要

The Community Question Answer (CQA) service is a typical forum of Web 2.0 that shares knowledge among people. There are thousands of questions that are posted and solved every day. Because of the various users of the CQA service, question search and ranking are the most important topics of research in the CQA portal. In this study, we addressed the problem of identifying questions as being hard or easy by means of a probability model. In addition, we observed the phenomenon called knowledge gap that is related to the habit of users and used a knowledge gap diagram to illustrate how much of a knowledge gap exists in different categories. To this end, we proposed an approach called the knowledge-gap-based difficulty rank (KG-DRank) algorithm, which combines the user-user network and the architecture of the CQA service to find hard questions. We used f-measure, AUC, MAP, NDCG, precision@Top5 and concordance analysis to evaluate the experimental results. Our results show that our approach leads to better performance than other baseline approaches across all evaluation metrics.

原文English
主出版物標題ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
編輯Martin Ester, Guandong Xu, Xindong Wu, Xindong Wu
發行者Institute of Electrical and Electronics Engineers Inc.
頁面336-339
頁數4
ISBN(電子)9781479958771
DOIs
出版狀態Published - 2014 十月 10
事件2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014 - Beijing, China
持續時間: 2014 八月 172014 八月 20

出版系列

名字ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Other

Other2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014
國家China
城市Beijing
期間14-08-1714-08-20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications

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