A Comprehensive Review of Recommender Systems in the Cultural Sector
One of the most essential aspects of human life is culture since it plays a crucial role in shaping their identity and worldview. The need for effective cultural recommender systems increases as globalization expands and the cultural products become more diverse. A cultural recommender system is a s...
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| Format: | Article |
| Language: | English |
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Ecole des Sciences de l'Information
2025-05-01
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| Series: | Journal of Information Sciences |
| Online Access: | https://revues.imist.ma/index.php/JIS/article/view/54822 |
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| _version_ | 1849729205223292928 |
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| author | IMAD EL-ATTAR Lamia BENAMEUR Mohamed CHRAYAH |
| author_facet | IMAD EL-ATTAR Lamia BENAMEUR Mohamed CHRAYAH |
| author_sort | IMAD EL-ATTAR |
| collection | DOAJ |
| description | One of the most essential aspects of human life is culture since it plays a crucial role in shaping their identity and worldview. The need for effective cultural recommender systems increases as globalization expands and the cultural products become more diverse. A cultural recommender system is a software tool that provides personalized recommendations for users based on their preferences and previous activity. The purpose behind such systems is to help users reach and engage with cultural content that matches their interests. Therefore, this article offers an overview of the recommender systems in the cultural sector by examining the nature of cultural products, types, benefits, applications and challenges of these systems, while testing their utility and application on three platforms: Netflix, Spotify, and Amazon.
Keywords: Recommender Systems ; Artificial Intelligence; Cultural sector; Collaborative Filtering ; Content-Based Filtering; Hybrid Recommendation.
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| format | Article |
| id | doaj-art-ea53117cf67b426a9c0673f32e596b99 |
| institution | DOAJ |
| issn | 1113-4844 2820-6894 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Ecole des Sciences de l'Information |
| record_format | Article |
| series | Journal of Information Sciences |
| spelling | doaj-art-ea53117cf67b426a9c0673f32e596b992025-08-20T03:09:18ZengEcole des Sciences de l'InformationJournal of Information Sciences1113-48442820-68942025-05-0123210.34874/IMIST.PRSM/jis-v23i2.54822A Comprehensive Review of Recommender Systems in the Cultural SectorIMAD EL-ATTAR0Lamia BENAMEUR1Mohamed CHRAYAH 2FS - Information Technologies and Systems Modeling, Abdelmalek Essaâdi University, Tetouan, Morocco FS - Information Technologies and Systems Modeling, Abdelmalek Essaâdi University, Tetouan, Morocco FS - Information Technologies and Systems Modeling, Abdelmalek Essaâdi University, Tetouan, Morocco One of the most essential aspects of human life is culture since it plays a crucial role in shaping their identity and worldview. The need for effective cultural recommender systems increases as globalization expands and the cultural products become more diverse. A cultural recommender system is a software tool that provides personalized recommendations for users based on their preferences and previous activity. The purpose behind such systems is to help users reach and engage with cultural content that matches their interests. Therefore, this article offers an overview of the recommender systems in the cultural sector by examining the nature of cultural products, types, benefits, applications and challenges of these systems, while testing their utility and application on three platforms: Netflix, Spotify, and Amazon. Keywords: Recommender Systems ; Artificial Intelligence; Cultural sector; Collaborative Filtering ; Content-Based Filtering; Hybrid Recommendation. https://revues.imist.ma/index.php/JIS/article/view/54822 |
| spellingShingle | IMAD EL-ATTAR Lamia BENAMEUR Mohamed CHRAYAH A Comprehensive Review of Recommender Systems in the Cultural Sector Journal of Information Sciences |
| title | A Comprehensive Review of Recommender Systems in the Cultural Sector |
| title_full | A Comprehensive Review of Recommender Systems in the Cultural Sector |
| title_fullStr | A Comprehensive Review of Recommender Systems in the Cultural Sector |
| title_full_unstemmed | A Comprehensive Review of Recommender Systems in the Cultural Sector |
| title_short | A Comprehensive Review of Recommender Systems in the Cultural Sector |
| title_sort | comprehensive review of recommender systems in the cultural sector |
| url | https://revues.imist.ma/index.php/JIS/article/view/54822 |
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