Educational Sciences: Theory & Practice

ISSN: 2630-5984

Research on Personalized Recommendation of Educational Resources Based on Big Data

Dewen Seng
School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 10018, China
Xiuli Chen
Key Laboratory of Complex Systems Modelling and Simulation, Ministry of Education, Hangzhou 10018
Xujian Fang
Key Laboratory of Complex Systems Modelling and Simulation, Ministry of Education, Hangzhou 10018, China.
Xuefeng Zhang
Key Laboratory of Complex Systems Modelling and Simulation, Ministry of Education, Hangzhou 10018, China.
Jing Chen
Key Laboratory of Complex Systems Modelling and Simulation, Ministry of Education, Hangzhou 10018, China.

Abstract

With the rapid development of Internet technology, the era of education informationization has arrived. With massive education resources, users are faced with the problem of information overload. This essay takes the management of educational resources and the big data which form the platform as the background, and designs a personalized recommendation algorithm of educational resources according to the users’ own characteristics. Personalized recommendation algorithm of EDX platform and personalized paper recommendation of CiteULike are used to verify the rationality and effectiveness of the proposed algorithm.

Keywords
Big Data, Educational Resources, Personalized Recommendation.