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A Review on Content Based Recommender Systems in Tourism

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Digital Technologies and Applications (ICDTA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 211))

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Abstract

Recommender systems (RSs) have been used worldwide in several fields to facilitate the tourists’ planning activities. Tourism is one of the fields that uses RSs to reduce the overload of information to end users. Accordingly, tourists get recommendations that are most suitable to their profiles. This paper presents a detailed overview of the tourism recommender systems that were developed since 2008. It focuses mainly on the content based systems and their applications in the tourism field.

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Author information

Authors and Affiliations

  1. Laboratoire Sciences de L’Ingénieur, ENSA, Ibn Tofail University, Kenitra, Morocco

    Asmae Bentaleb, Younès El Bouzekri El Idrissi & Ayoub Ait Lahcen

Authors
  1. Asmae Bentaleb
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  2. Younès El Bouzekri El Idrissi
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  3. Ayoub Ait Lahcen
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Corresponding author

Correspondence to Asmae Bentaleb .

Editor information

Editors and Affiliations

  1. ENSA, Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Saad Motahhir

  2. Faculty of Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Badre Bossoufi

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Bentaleb, A., El Bouzekri El Idrissi, Y., Ait Lahcen, A. (2021). A Review on Content Based Recommender Systems in Tourism. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2021. Lecture Notes in Networks and Systems, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-030-73882-2_48

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