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2019 | OriginalPaper | Chapter

DRGAN: A GAN-Based Framework for Doctor Recommendation in Chinese On-Line QA Communities

Authors : Bing Tian, Yong Zhang, Xinhuan Chen, Chunxiao Xing, Chao Li

Published in: Database Systems for Advanced Applications

Publisher: Springer International Publishing

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Abstract

Recently, more and more people choose to seek health-related information in health-related on-line QA communities. Doctor recommendation is very essential for users in these communities since it is difficult for them to find a proper doctor without assistance from medical staffs. In this paper, we develop a Generative Adversarial Nets (GANs)-based doctor recommendation framework utilizing data in Chinese on-line QA communities. We conduct extensive sets of experiments on a real-world dataset. The experimental results show that our framework significantly outperforms the state-of-the-art baselines.

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Metadata
Title
DRGAN: A GAN-Based Framework for Doctor Recommendation in Chinese On-Line QA Communities
Authors
Bing Tian
Yong Zhang
Xinhuan Chen
Chunxiao Xing
Chao Li
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-18590-9_63

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