A Comprehensive Review of Recommender Systems in the Cultural Sector

IMAD EL-ATTAR; Lamia BENAMEUR; Mohamed CHRAYAH

Article Details

A Comprehensive Review of Recommender Systems in the Cultural Sector

Authors:

IMAD EL-ATTAR | Lamia BENAMEUR | Mohamed CHRAYAH

Publisher:

School of Information Sciences

Journal:

Journal of Information Sciences Vol.23 Issue 2, pp.140-155

Document Type:

Article

Publication Date:

8/2025

Document Language:

English

Document ID (Org No.):

2001845046

pISSN:

2820-6894

Abstract:

 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.

Article Details

A Comprehensive Review of Recommender Systems in the Cultural Sector

Authors: IMAD EL-ATTAR | Lamia BENAMEUR | Mohamed CHRAYAH

Publisher: School of Information Sciences

Journal: Journal of Information Sciences Vol.23 Issue 2, pp.140-155

Document Type: Article

Publication Date: 8/2025

Document Language: English

Document ID (Org No.): 2001845046

pISSN: 2820-6894

Issues

Authors:

IMAD EL-ATTAR | Lamia BENAMEUR | Mohamed CHRAYAH

Publisher:

School of Information Sciences

Journal:

Journal of Information Sciences Vol.23 Issue 2, pp.140-155

Document Type:

Article

Publication Date:

8/2025

Document Language:

English

Document ID (Org No.):

2001845046

pISSN:

2820-6894