Research on Personalized Recommendation of Educational Resources Based on Big Data | Zendy

Dewen Seng | Zendy; Xiuli Chen | Zendy; Xujian Fang | Zendy; Xuefeng Zhang | Zendy; Jing Chen | Zendy

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Research on Personalized Recommendation of Educational Resources Based on Big Data

Author(s) -

Dewen Seng,

Xiuli Chen,

Xujian Fang,

Xuefeng Zhang,

Jing Chen

Publication year - 2018

Publication title -

educational sciences theory and practice

Language(s) - English

Resource type - Journals

eISSN - 2148-7561

pISSN - 1303-0485

DOI - 10.12738/estp.2018.5.094

Subject(s) - computer science , information overload , big data , the internet , rationality , educational resources , world wide web , personalized learning , data science , recommender system , multimedia , knowledge management , data mining , teaching method , mathematics education , psychology , pedagogy , political science , law , open learning , cooperative learning

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.

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