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

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

Gerel Tumenbayar and Hung Yu Kao
TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings, pp.178-185
03/2017
DOI: https://doi.org/10.1109/TAAI.2016.7880110

Abstract

Bayesian Network CQA Knowledge Extraction Propagation Tag Inference Topic suggestion, Topic relationship Artificial Intelligence Computer Networks and Communications Computer Science Applications Control and Optimization Information Systems
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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