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Collaborative Filtering Approach: A Review of Recent Research

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2020) (AI2SD 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1418))

Abstract

Collaborative filtering is one of the basic approaches in recommender systems, which aims to produce to a target user good and reliable recommendation based on the near users to him. This paper offers a detailed study of the collaborative filtering systems based on eighty-three papers that have published in the last 10 years, between 2009 and 2019, starting with a general presentation of challenges and limitations which face this technique, like, cold start, data sparsity, scalability and gray sheep issues. Then, we present the evolution of this approach by year, then the classification of published papers by the application domain and by techniques.

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Authors and Affiliations

  1. Laboratory of Information Technology and Modeling, Faculty of Sciences Ben M’sik, Hassan II University, Casablanca, Morocco

    Kawtar Najmani, El Habib Benlahmar & Nawal Sael

  2. Laboratory of Software Project Management, Mohammed V University, ENSIAS, Rabat, Morocco

    Ahmed Zellou

Authors
  1. Kawtar Najmani
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  2. El Habib Benlahmar
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  3. Nawal Sael
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  4. Ahmed Zellou
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Corresponding author

Correspondence to Kawtar Najmani .

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Editors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, Warszawa, Poland

    Janusz Kacprzyk

  2. Aurel Vlaicu University of Arad, Arad, Romania

    Valentina E. Balas

  3. Sciences and Techniques of Tangier, Abdelmalek Essaâdi University, Tangier, Morocco

    Mostafa Ezziyyani

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Najmani, K., Benlahmar, E.H., Sael, N., Zellou, A. (2022). Collaborative Filtering Approach: A Review of Recent Research. In: Kacprzyk, J., Balas, V.E., Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2020). AI2SD 2020. Advances in Intelligent Systems and Computing, vol 1418. Springer, Cham. https://doi.org/10.1007/978-3-030-90639-9_13

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