Belief Measure of Expertise for Experts Detection in Question Answering Communities: case study Stack Overflow

Online Question Answering Communities (Q& A C) provide a valuable amount of information in several topics. The major challenge with Q& A C is the detection of the authoritative users. When manipulating real world data, we have to deal with imperfections and uncertainty that can occur. In thi...

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Bibliographic Details
Published in:Procedia computer science 2017, Vol.112, p.622-631
Main Authors: Attiaoui, Dorra, Martin, Arnaud, Yaghlane, Boutheina Ben
Format: Article
Language:English
Subjects:
Classification
Expertise
Question Answering Communities
Social Networks
Theory of belief functions
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Summary:Online Question Answering Communities (Q& A C) provide a valuable amount of information in several topics. The major challenge with Q& A C is the detection of the authoritative users. When manipulating real world data, we have to deal with imperfections and uncertainty that can occur. In this paper, we propose a belief measure of expertise allowing us to detect users with the highest degree of expertise based on their attributes. Experiments on a dataset from a large online Q&A Community prove that the proposed model can be used to improve the identification of most expert users.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2017.08.099