An empirical study of topic-sensitive probabilistic model for expert finding in question answer communities-Reference-Cited by-同舟云学术

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An empirical study of topic-sensitive probabilistic model for expert finding in question answer communities

Published:2014-08 Issue: Volume:66 Page:136-145
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Zhou Guangyou,Zhao Jun,He Tingting,Wu Wensheng

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference43 articles.

1. Finding high-quality content in social media;Agichtein,2008

2. Identifying authoritative actors in question-answering forums: the case of yahoo! answers;Bouguessa,2008

3. Discovering authorities in question answer communities by using link analysis;Jurczyk,2007

4. Competition-based user expertise score estimation;Liu,2011

5. Expert identification in community question answering: exploring question selection bias;Pal,2010

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3. Topic-sensitive expert finding based solely on heterogeneous academic networks;Expert Systems with Applications;2023-03

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