Research Article
Course Recommendation Method and System of Education Platform Based on Deep Learning
@INPROCEEDINGS{10.1007/978-3-031-23950-2_44, author={Jingbin Zhang}, title={Course Recommendation Method and System of Education Platform Based on Deep Learning}, proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29--31, 2022, Proceedings, Part I}, proceedings_a={BIGIOT-EDU}, year={2023}, month={1}, keywords={Deep learning Education platform Course recommendation}, doi={10.1007/978-3-031-23950-2_44} }- Jingbin Zhang
Year: 2023
Course Recommendation Method and System of Education Platform Based on Deep Learning
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-031-23950-2_44
Abstract
Course recommendation is a service mode that recommends personalized learning resources to users according to their historical behavior information. Traditional recommendation methods can not effectively use auxiliary information and its potential relationship, resulting in problems such as cold start and sparse data. With the growth of data and the progress of computing power, the combination of deep learning and course Recommendation provides a new idea to solve the above problems. The research on in-depth learning methods for education platform curriculum recommendation has become a research hotspot in the field of education. In view of the challenges faced by the current curriculum recommendation, this paper studies the curriculum recommendation method and system of the education platform based on deep learning.
