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Deep Learning Model for Educational Recommender Systems

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Business Intelligence (CBI 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 449))

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Abstract

Research in the field of recommender systems is evolving rapidly and these systems are increasingly being applied to specific domains, including educational technologies. In the field of education, in general, recommender systems are used to improve the processes of online learning and teaching. However, with the growth in the number of educational resources and their diversities, the problem of information overload is becoming increasingly critical. Therefore, providing learners with personalized educational recommendation tools is a necessity. The objective of this work is to propose a new approach to recommend resources to students according to their preferences. This recommendation approach introduces a general framework called collaborative filtering (CF) based on neural networks, which complements classical models and machine learning algorithms such as KNN, SVD of collaborative filtering. The experiments we have performed prove the performance of the proposed approach.

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Notes

  1. 1.

    https://github.com/NicolasHug/Surprise/.

  2. 2.

    https://surprise.readthedocs.io/en/stable/index.html.

  3. 3.

    https://github.com/microsoft/recommenders.

  4. 4.

    https://surprise.readthedocs.io/en/stable/matrix_factorization.html#surprise.prediction_algorithms.matrix_factorization.SVD.

  5. 5.

    https://arxiv.org/abs/1412.6980.

  6. 6.

    https://www.kaggle.com/zygmunt/goodbooks-10k.

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Author information

Authors and Affiliations

  1. Data4Earth Laboratory, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Beni Mellal, Morocco

    Abdelkader Grota, Mohammed Erritali & Elmoufidi Abdelali

Authors
  1. Abdelkader Grota
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  2. Mohammed Erritali
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  3. Elmoufidi Abdelali
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Corresponding author

Correspondence to Abdelkader Grota .

Editor information

Editors and Affiliations

  1. Sultan Moulay Slimane University, Beni-Mellal, Morocco

    Mohamed Fakir

  2. Sultan Moulay Slimane University, Beni Mellal, Morocco

    Mohamed Baslam

  3. Sultan Moulay Slimane University, Beni-Mellal, Morocco

    Rachid El Ayachi

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Grota, A., Erritali, M., Abdelali, E. (2022). Deep Learning Model for Educational Recommender Systems. In: Fakir, M., Baslam, M., El Ayachi, R. (eds) Business Intelligence. CBI 2022. Lecture Notes in Business Information Processing, vol 449. Springer, Cham. https://doi.org/10.1007/978-3-031-06458-6_9

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  • DOI: https://doi.org/10.1007/978-3-031-06458-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06457-9

  • Online ISBN: 978-3-031-06458-6

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