Analyzing the Efficiency of Recommender Systems Using Machine Learning

Author:

González Daniel,Tansini Libertad

Publisher

Springer International Publishing

Reference12 articles.

1. RedEMC. http://redemc.net. Accessed 06 Jan 2022

2. González, D.: Collaborative recommendations in virtual learning environments. Master’s Thesis. Facultad de Ingeniería, Universidad de la República, PEDECIBA, Montevideo (2019)

3. González, D., Tansini, L.: Collaborative learning recommendations for continuing medical education in virtual learning environments. In: Co-creation of Curricula, Tools and Educational Scenarios for Building Soft Competences for Personal Development and Employability Conference (Co-Create! 2018), Estonia (2018)

4. Margolis, A., et al.: Social learning in large online audiences of health professionals: improving dialogue with automated tools. MedEdPublish 8, 55 (2019)

5. Melville, P., Sindhwani, V.: Recommender systems. In: Encyclopedia of Machine Learning. Springer, Boston (2011). https://doi.org/10.1007/978-1-4899-7687-1_964

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