Reciprocal Recommender System for Learners in Massive Open Online Courses (MOOCs)

Author:

Prabhakar Sankalp,Spanakis Gerasimos,Zaiane Osmar

Publisher

Springer International Publishing

Reference15 articles.

1. Akehurst, J., Koprinska, I., Yacef, K., Pizzato, S., Kay, J., Rej, T.: CCR-a content-collaborative reciprocal recommender for online dating. In: IJCAI, pp. 2199–2204 (2011)

2. Apaza, R.G., Cervantes, E.V., Quispe, L.C., Luna, J.O.: Online courses recommendation based on LDA. In: SIMBig, pp. 42–48. Citeseer (2014)

3. Bousbahi, F., Chorfi, H.: MOOC-Rec: a case based recommender system for MOOCs. Procedia Soc. Behav. Sci. 195, 1813–1822 (2015)

4. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);S Bull,2001

5. Freeman, S., Eddy, S.L., McDonough, M., Smith, M.K., Okoroafor, N., Jordt, H., Wenderoth, M.P.: Active learning increases student performance in science, engineering, and mathematics. Proc. Natl. Acad. Sci. 111(23), 8410–8415 (2014)

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