Research on the Construction of Personalized Resources Recommender Platform in University Based on Big Data

DOI

10.2991/meees-18.2018.12How to use a DOI?

Keywords

Big Data, Recommender System.

Abstract

Big data is one of the most popular concepts and technologies in recent years. It has brought profound influence to our work, life and study. This paper studies the construction of personalized resources recommender platform in Universities under big data environment. The first is to solve the difficulties faced by teachers and students in searching and selecting of resources in research, learning and work, and through the platform to provide a precise personalized resources recommender services for teachers and students in the school. At the same time, it is also aimed at further improving the utilization efficiency of various resources and promoting the informatization construction in universities. This paper introduces the related domain knowledge of big data and recommender system, expounds the process of collection, storage and calculation of big data platform in colleges and universities, and proposes how to build a personalized resources recommender platform based on big data in universities.

Copyright

© 2018, 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  - Guang Liu
AU  - Xu Zhao
PY  - 2018/05
DA  - 2018/05
TI  - Research on the Construction of Personalized Resources Recommender Platform in University Based on Big Data
BT  - Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)
PB  - Atlantis Press
SP  - 59
EP  - 64
SN  - 2352-5401
UR  - https://doi.org/10.2991/meees-18.2018.12
DO  - 10.2991/meees-18.2018.12
ID  - Liu2018/05
ER  -