Comprehensive Sex Education Model of College Students Based on Personalized Recommendation Algorithm

[1] Yin, C., Shi, L., Sun, R., & Wang, J. (2020). Improved collaborative filtering recommendation algorithm based on differential privacy protection. The Journal of Supercomputing, 76(7), 5161-5174. Search in Google Scholar

[2] Gao, H., Kuang, L., Yin, Y., Guo, B., & Dou, K. (2020). Mining consuming behaviors with temporal evolution for personalized recommendation in mobile marketing apps. Mobile Networks and Applications, 25(4), 1233-1248. Search in Google Scholar

[3] Khanal, S. S., Prasad, P. W. C., Alsadoon, A., & Maag, A. (2020). A systematic review: Machine learning based recommendation systems for e-learning. Education and Information Technologies, 25(4), 2635-2664. Search in Google Scholar

[4] Zhou, D., Li, L., Fakieh, B., & Ismail, R. (2022). User online consumption behaviour based on fractional differential equation. Applied Mathematics and Nonlinear Sciences, 7(1), 415-424. Search in Google Scholar

[5] Bao, Z., Wei, Q., Zhou, T., Jiang, X., & Watanabe, T. (2021). Predicting stock high price using forecast error with recurrent neural network. Applied Mathematics and Nonlinear Sciences, 6(1), 283-292. Search in Google Scholar

[6] Walkington, C., & Bernacki, M. L. (2020). Appraising research on personalized learning: Definitions, theoretical alignment, advancements, and future directions. Journal of research on technology in education, 52(3), 235-252. Search in Google Scholar

[7] Cui, Z., Xu, X., Fei, X. U. E., Cai, X., Cao, Y., Zhang, W., & Chen, J. (2020). Personalized recommendation system based on collaborative filtering for IoT scenarios. IEEE Transactions on Services Computing, 13(4), 685-695. Search in Google Scholar

[8] Lu, H., Zhang, Y., Li, Y., Jiang, C., & Abbas, H. (2020). User-oriented virtual mobile network resource management for vehicle communications. IEEE transactions on intelligent transportation systems, 22(6), 3521-3532. Search in Google Scholar

[9] Liu, Y., Yuan, X., Xiong, Z., Kang, J., Wang, X., & Niyato, D. (2020). Federated learning for 6G communications: Challenges, methods, and future directions. China Communications, 17(9), 105-118. Search in Google Scholar

[10] Alamri, H., Lowell, V., Watson, W., & Watson, S. L. (2020). Using personalized learning as an instructional approach to motivate learners in online higher education: Learner self-determination and intrinsic motivation. Journal of Research on Technology in Education, 52(3), 322-352. Search in Google Scholar