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2020 | OriginalPaper | Chapter

Research and Design of Student Party Member Development Recommendation Model Based on Grid Platform Deep Learning Mode

Authors : Wei-wei Guo, Feng Liu

Published in: Innovative Computing

Publisher: Springer Singapore

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Abstract

With the informationization of the development of party members in colleges and universities, the traditional management platform has been unable to meet the recommendation work of party members in colleges and universities. By analyzing the shortcomings of the existing party member management platform, this paper proposes a student party member development recommendation model based on the grid platform deep learning mode. Under the grid platform, the artificial intelligence method of deep learning training is used to set the development object. Different parameters and parameter weights are set, and repeated training makes the constructed model more optimized, thus obtaining the recommended queue, solving the manual operation mode of daily work, reducing the working time, improving the work efficiency, and making the whole process more intelligent.

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Metadata
Title
Research and Design of Student Party Member Development Recommendation Model Based on Grid Platform Deep Learning Mode
Authors
Wei-wei Guo
Feng Liu
Copyright Year
2020
Publisher
Springer Singapore
Book
Innovative Computing

Print ISBN: 978-981-15-5958-7

Electronic ISBN: 978-981-15-5959-4

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-5959-4_213

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