Recommender systems and over-the-top services: a systematic review study (2010-2022)

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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.

Original languageEnglish
Pages (from-to)1259-1278
Number of pages20
JournalJournalism and Media
Volume5
Issue number3
DOIs
Publication statusPublished - 2 Sept 2024

Keywords

  • Algorithms
  • Amazon Prime
  • Artificial intelligence (AI)
  • Disney+
  • HBO
  • Hulu
  • Netflix
  • Over-the-top (OTT) services
  • Recommender systems

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