The Research of Reader Portrait in University Library based on Big Data

DOI

10.2991/icmeit-19.2019.130How to use a DOI?

Keywords

big data, library, deep learning, user portrait.

Abstract

This paper takes the reader of university library as the research object, analyzes the current research status of the existing libraries, points out the problems existing in the library research process, and proposes the use of big data and user portrait technology to solve the existing problems. Based on the user portrait system architecture under big data, using SPARK technology to integrate offline and real-time data and practiced in a university. We combined with the management experience of higher education industry to design a label system to portrait all readers. Finally, we pointed out the future research direction.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Huazhi Lin
AU  - Denghui Zhang
PY  - 2019/04
DA  - 2019/04
TI  - The Research of Reader Portrait in University Library based on Big Data
BT  - Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 812
EP  - 818
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.130
DO  - 10.2991/icmeit-19.2019.130
ID  - Lin2019/04
ER  -