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A Concise Survey on Content Recommendations

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 872))

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Abstract

A recommender system is often perceived as an enigmatic entity that seems to guess our thoughts, and predict our interests. It is defined as a system capable of providing information to users according to their needs. It is enable them to explore data more effectively. There are several recommendation approaches and this domain remains to date an active research area that aims improving the quality of recommended contents. The main goal of this paper is to provide not only a global view of major recommender systems but also comparisons according to different specifications. We categorize and discuss their main features, advantages, limits and usages.

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Author information

Authors and Affiliations

  1. LRIT, Associated Unit to CNRST (URAC29), Faculty of Sciences, Mohammed V University, Rabat, Morocco

    Mehdi Srifi, Badr Ait Hammou, Ayoub Ait Lahcen & Salma Mouline

  2. LGS, National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco

    Ayoub Ait Lahcen

Authors
  1. Mehdi Srifi
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  2. Badr Ait Hammou
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  3. Ayoub Ait Lahcen
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  4. Salma Mouline
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Corresponding author

Correspondence to Mehdi Srifi .

Editor information

Editors and Affiliations

  1. Abdelmalek Essaâdi University, Tétouan, Morocco

    Youness Tabii

  2. Abdelmalek Essaâdi University, Tétouan, Morocco

    Mohamed Lazaar

  3. Abdelmalek Essaâdi University, Tétouan, Morocco

    Mohammed Al Achhab

  4. Université Ibn-Tofail, Tétouan, Morocco

    Nourddine Enneya

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Srifi, M., Ait Hammou, B., Ait Lahcen, A., Mouline, S. (2018). A Concise Survey on Content Recommendations. In: Tabii, Y., Lazaar, M., Al Achhab, M., Enneya, N. (eds) Big Data, Cloud and Applications. BDCA 2018. Communications in Computer and Information Science, vol 872. Springer, Cham. https://doi.org/10.1007/978-3-319-96292-4_31

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  • DOI: https://doi.org/10.1007/978-3-319-96292-4_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-96291-7

  • Online ISBN: 978-3-319-96292-4

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