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Recommender Systems and Over-the-Top Services: A Systematic Review Study (2010–2022)

Authors :
Paulo Nuno Vicente
Catarina Duff Burnay
Source :
Journalism and Media, Vol 5, Iss 3, Pp 1259-1278 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Artificial intelligence (AI) technologies have been increasingly developed and applied in the audiovisual sector. Over-the-top (OTT) services, directly distributed to viewers via the Internet, are associated with a shift towards automation through algorithmic mediation in audiovisual content led by digital platforms. However, scientific knowledge regarding algorithmic recommender systems and automation in OTT services is not yet systemized; researchers, practitioners, and the public thus lack full awareness about the still largely opaque phenomena. To address this gap, we conduct a systematic literature review in the communication domain (2010–2022) and answer four key research questions: What research objectives have been pursued? What concepts have been developed and/or applied? What methodologies have been privileged? Which OTT platforms have received the most research attention? Challenges and opportunities are highlighted, and an agenda for future research is advanced.

Details

Language :
English
ISSN :
26735172
Volume :
5
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Journalism and Media
Publication Type :
Academic Journal
Accession number :
edsdoj.b15fa8b285ff4368b0e30da899d1cbbb
Document Type :
article
Full Text :
https://doi.org/10.3390/journalmedia5030080