Research Article
Research on English Vocabulary Learning Platform Based on Personalized Recommendation
@INPROCEEDINGS{10.4108/eai.23-12-2022.2329214, author={Hongyan Cai}, title={Research on English Vocabulary Learning Platform Based on Personalized Recommendation}, proceedings={Proceedings of the 2nd International Conference on Internet Technology and Educational Informatization, ITEI 2022, December 23-25, 2022, Harbin, China}, publisher={EAI}, proceedings_a={ITEI}, year={2023}, month={6}, keywords={personalized recommendation; spatial model; collaborative filtering; lexical recommendation; dynamic model}, doi={10.4108/eai.23-12-2022.2329214} }- Hongyan Cai
Year: 2023
Research on English Vocabulary Learning Platform Based on Personalized Recommendation
ITEI
EAI
DOI: 10.4108/eai.23-12-2022.2329214
Abstract
In the mobile learning environment, it is necessary to consider how to mine learners' personalized vocabulary needs and recommend appropriate vocabulary resources according to the characteristics of resources and learners. This is of practical significance for improving learners' vocabulary learning efficiency. Based on the classification time perception method and vector space model representation, this paper constructs the learner dynamic interest model. This model can represent learners' personalized features more accurately and improve the accuracy of word recommendation. Combined with the collaborative filtering recommendation based on learners' dynamic interests, it can recommend vocabulary resources for learners. Finally, through the questionnaire survey, the effectiveness of the system is tested from the aspect of the learning effect of the system. The data show that the system can improve the user's learning effect to a certain extent.