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

Author:

Vicente Paulo Nuno1,Burnay Catarina Duff2

Affiliation:

1. ICNOVA, Universidade Nova de Lisboa, 1069-061 Lisboa, Portugal

2. CECC, Universidade Católica Portuguesa, 1649-023 Lisboa, Portugal

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.

Funder

Fundação para a Ciência e Tecnologia

Publisher

MDPI AG

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