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Hybrid Recommendation Approach in Online Learning Environments

  • Mohammed Baidada
  • Khalifa Mansouri
  • Franck Poirier
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 111)

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.

Keywords

Online learning environments Personalization Recommendation systems Item-based filtering Collaborative filtering 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Mohammed Baidada
    • 1
    • 3
  • Khalifa Mansouri
    • 2
  • Franck Poirier
    • 1
  1. 1.Lab-STICC, Université Bretagne-SudLorientFrance
  2. 2.SSDIA, ENSETUniversité Hassan IICasablancaMorocco
  3. 3.CRI, Institut Supérieur d’Ingénierie et des AffairesISGA RabatRabatMorocco

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