Topic suggestion by Bayesian network enhanced tag inference in community question answering

Gerel Tumenbayar, Hung-Yu Kao

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

Since Web 2.0 emerges, users became very active in attending Web forum and Q&A Community. For the community about technology, engineering and science, it is likely that most of the professionals follow the same general path to study specific knowledge and this path would be between topics from basic one to specific one or from topic about old technology to a topic about new technology. Our work aims to find this general conditional relationship between topics by using Bayesian Network model and then use this model to suggest the reasonable topics for professionals to further study.

原文English
主出版物標題TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面178-185
頁數8
ISBN(電子)9781509057320
DOIs
出版狀態Published - 2017 3月 16
事件2016 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2016 - Hsinchu, Taiwan
持續時間: 2016 11月 252016 11月 27

出版系列

名字TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings

Other

Other2016 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2016
國家/地區Taiwan
城市Hsinchu
期間16-11-2516-11-27

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦網路與通信
  • 電腦科學應用
  • 控制和優化
  • 資訊系統

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