Predicting the quality of online health expert question-answering services with temporal features in a deep learning framework-Reference-Cited by-同舟云学术

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Predicting the quality of online health expert question-answering services with temporal features in a deep learning framework

Published:2018-01 Issue: Volume:275 Page:2769-2782
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Hu Ze,Zhang Zhan,Yang Haiqin,Chen Qing,Zhu Rong,Zuo Decheng

Funder

National Natural Science Foundation of China

National High Technology Research and Development Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference72 articles.

1. Towards automatic evaluation of health-related CQA data;Beloborodov,2014

2. Mobile-health: a review of current state in 2015;Silva;J. Biomed. Inf.,2015

3. Research agenda for social Q&A;Shah;Libr. Inf. Sci. Res.,2009

4. Predicting information seeker satisfaction in community question answering;Liu,2008

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

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