Intelligent Recommendation Method of Online Teaching Resources for Business English Collaborative Learning

Author:

Ye Juanjuan,Wang Minchen

Publisher

Springer Nature Switzerland

Reference10 articles.

1. Wang, Z., Liang, J.H.: Research on the rapid recommendation model of online teaching resources in colleges and universities. Inf. Stud. Theor. Appl. 44(5), 180–186 (2021)

2. She, X.B., Huang, S., Liu, C.Q.: Web resource priority collaborative filtering recommendation based on deep learning. Comput. Simul. 39(2), 431–435 (2022)

3. Darling-Aduana, J., Good, A., Geraghty, E.: The culture of power online: cultural responsiveness and relevance in vendor-developed online courses: Urban Educ. 57(4), 714–742 (2022)

4. Guo, Z., Peng, J., Xu, W., et al.: Minimizing redundant sensing data transmissions in energy-harvesting sensor networks via exploring spatial data correlations. IEEE Internet Things J. 8(1), 512–527 (2021)

5. Verbelen, R., Antonio, K., Claeskens, G., et al.: Modeling the occurrence of events subject to a reporting delay via an EM algorithm. Stat. Sci. Rev. J. Inst. Math. Stat. 37(3), 394–410 (2022)

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