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