Abstract
Online learning environments (OLE) have provided learners with personalized content through the use of Recommendation Systems (RS). Some RS are based on a learner’s profile to offer content that matches his/her preferences, others consider the learner in a collective setting and offer him appreciated or popular content in his/her group.
Our contribution consists of proposing a hybrid approach of RS which takes into account the learner’s preferences and the similarity of the learner with his/her group, to improve the relevance of the proposed contents.
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Baidada, M., Mansouri, K., Poirier, F. (2019). Hybrid Recommendation Approach in Online Learning Environments. In: Rocha, Á., Serrhini, M. (eds) Information Systems and Technologies to Support Learning. EMENA-ISTL 2018. Smart Innovation, Systems and Technologies, vol 111. Springer, Cham. https://doi.org/10.1007/978-3-030-03577-8_5
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DOI: https://doi.org/10.1007/978-3-030-03577-8_5
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