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2018 | OriginalPaper | Chapter

Deep Learning Based Recommendation Algorithm in Online Medical Platform

Authors : QingYun Dai, XueBin Hong, Jun Cai, Yan Liu, HuiMin Zhao, JianZhen Luo, ZeYu Lin, ShiJian Chen

Published in: Advances in Brain Inspired Cognitive Systems

Publisher: Springer International Publishing

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Abstract

In recent years, with the rapidly development of Internet and pharmaceutical market, online medical platform has become a major place for online medical trading. Recommendation systems have been widely deployed in commercial platform to improve user experience and sales. Motivated by this, we propose two hybrid recommendation algorithms, CB-CF hybrid algorithm and CNN-based CF algorithm, for B2B medical platform to provide accurate recommendations. We also give a brief introduction of two well-known recommendation algorithms, content-based algorithm and model-based CF algorithm. Then we investigate the performance of recommendation algorithms on Apache Spark and Tensorflow with real-world data collected from a china B2B online medical platform. Experimental results show that the hybrid recommendation algorithm performs better than other algorithms.

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Metadata
Title
Deep Learning Based Recommendation Algorithm in Online Medical Platform
Authors
QingYun Dai
XueBin Hong
Jun Cai
Yan Liu
HuiMin Zhao
JianZhen Luo
ZeYu Lin
ShiJian Chen
Copyright Year
2018
Book
Advances in Brain Inspired Cognitive Systems

Print ISBN: 978-3-030-00562-7

Electronic ISBN: 978-3-030-00563-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-030-00563-4_4

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