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

Gerel Tumenbayar, Hung-Yu Kao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationTAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages178-185
Number of pages8
ISBN (Electronic)9781509057320
DOIs
Publication statusPublished - 2017 Mar 16
Event2016 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2016 - Hsinchu, Taiwan
Duration: 2016 Nov 252016 Nov 27

Publication series

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

Other

Other2016 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2016
CountryTaiwan
CityHsinchu
Period16-11-2516-11-27

Fingerprint

Question Answering
Bayesian networks
Bayesian Networks
Engineering technology
Path
Web 2.0
Bayesian Model
Network Model
Likely
Engineering
Community
Model

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Optimization
  • Information Systems

Cite this

Tumenbayar, G., & Kao, H-Y. (2017). Topic suggestion by Bayesian network enhanced tag inference in community question answering. In TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings (pp. 178-185). [7880110] (TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TAAI.2016.7880110
Tumenbayar, Gerel ; Kao, Hung-Yu. / Topic suggestion by Bayesian network enhanced tag inference in community question answering. TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 178-185 (TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings).
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abstract = "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.",
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Tumenbayar, G & Kao, H-Y 2017, Topic suggestion by Bayesian network enhanced tag inference in community question answering. in TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings., 7880110, TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 178-185, 2016 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2016, Hsinchu, Taiwan, 16-11-25. https://doi.org/10.1109/TAAI.2016.7880110

Topic suggestion by Bayesian network enhanced tag inference in community question answering. / Tumenbayar, Gerel; Kao, Hung-Yu.

TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 178-185 7880110 (TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Tumenbayar G, Kao H-Y. Topic suggestion by Bayesian network enhanced tag inference in community question answering. In TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 178-185. 7880110. (TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings). https://doi.org/10.1109/TAAI.2016.7880110