Research Article
Recommendation Method of College English Online Mobile Teaching Resources Based on Big Data Mining Algorithm
@INPROCEEDINGS{10.1007/978-3-031-28787-9_33, author={Yuhong Xia and Yudong Wei}, title={Recommendation Method of College English Online Mobile Teaching Resources Based on Big Data Mining Algorithm}, proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I}, proceedings_a={ADHIP}, year={2023}, month={3}, keywords={Big data mining algorithm English online teaching Mobile teaching Resource Recommendation Neural network Collaborative filtering}, doi={10.1007/978-3-031-28787-9_33} }- Yuhong Xia
Yudong Wei
Year: 2023
Recommendation Method of College English Online Mobile Teaching Resources Based on Big Data Mining Algorithm
ADHIP
Springer
DOI: 10.1007/978-3-031-28787-9_33
Abstract
The current teaching resource recommendation methods mainly recommend resources according to the relationship between users’ historical data and resources, do not consider the timeliness of data, and ignore the attenuation of users’ interest in learning resources, resulting in low accuracy and poor recommendation performance. To solve the above problems, in order to improve the accuracy of recommendation of College English online mobile teaching resources, this paper studies the recommendation method of College English online mobile teaching resources based on big data mining algorithm. In the big data teaching environment of College English online mobile teaching, data mining technology is used to mine the characteristics of users’ preference for resources. Time information is introduced into the collaborative filtering model integrating neural network to realize the recommendation of teaching resources. In the method test, the recommendation accuracy of the resource recommendation method is 97.26%, and the recommendation performance is significantly improved.
