Author:
Bustos-López Maritza,Cruz-Ramírez Nicandro,Guerra-Hernández Alejandro,Sánchez-Morales Laura Nely,Alor-Hernández Giner
Publisher
Springer International Publishing
Reference40 articles.
1. Adomavicius, G., Sankaranarayanan, R., Sen, S., Tuzhilin, a. A.: Incorporating contextual information in recommender systems using a multidimensional approach. ACM Trans. Inf. Syst. 23(1), 103–145 (2005). https://doi.org/10.1145/1055709.1055714
2. Altuwairqi, K., Jarraya, S.K., Allinjawi, A., Hammami, M.: A new emotion–based affective model to detect student’s engagement. J. King Saud Univ. Comput. Inf. Sci. (2019). https://doi.org/10.1016/j.jksuci.2018.12.008
3. Bouhlal, M., Aarika, K., AitAbdelouahid, R., et al.: Emotions recognition as innovative tool for improving students’ performance and learning approaches. Procedia Comput. Sci. 175, 597–602 (2020). https://doi.org/10.1016/j.procs.2020.07.086
4. Breese, J. S., Breese, J. S., Heckerman, D. and Kadie, C.: Empirical analysis of predictive algorithm for collaborative filtering. In: Proceedings of the 14th conference on uncertainty in artificial intelligence, pp. 43–52. Morgan Kaufmann Publishers Inc., San Francisco CA United States. (1998)
5. Calvo, R., D’Mello, S.K., Gratch, J., Kappas, A.: Interaction-based affect detection in educational software. Oxford Handb. Affect Comput. Oxford Univ. Press (2015). https://doi.org/10.1093/oxfordhb/9780199942237.013.009
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献