Research on Personalized Hybrid Recommendation System for English Word Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64312-5_33
Reference8 articles.
1. Wu, S.Y.: Design and development of intelligent recommendation system for English vocabulary learning. Shanghai International Studies University, Shanghai (2021). https://doi.org/10.27316/d.cnki.gswyu.2020.000590 (in Chinese)
2. Zou, D., Xie, H.: Personalized word-learning based on technique feature analysis and learning analytics. J. Educ. Technol. Soc. 21(2), 233–244 (2018)
3. Xie, H., Zou, D., Wang, M., Wang, F.L.: A personalized task recommendation system for vocabulary learning based on readability and diversity. In: Cheung, S., Lee, L.K., Simonova, I., Kozel, T., Kwok, L.F. (eds.) Blended Learning: Educational Innovation for Personalized Learning. ICBL 2019. LNCS, vol. 11546, pp. 82–92. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-21562-0_7
4. Zou, D., Xie, H., Wang, F.L., Wong, T.L., Kwan, R., Chan, W.H.: An explicit learner profiling model for personalized word learning recommendation. In: Huang, T.C., Lau, R., Huang, Y.M., Spaniol, M., Yuen, C.H. (eds.) Emerging Technologies for Education. SETE 2017. LNCS, vol. 10676, pp. 495–499. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-71084-6_58
5. Xie, H., Zou, D., Zhang, R., et al.: Personalized word learning for university students: a profile-based method for e-learning systems. J. Comput. High. Educ. 31, 273–289 (2019). https://doi.org/10.1007/s12528-019-09215-0
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