Data-driven personalisation of Television Content: A Survey
- 1. MODUL Technology
- 2. Birmingham City University
- 3. CERTH-ITI
Description
This survey considers the vision of TV broadcasting where content is personalised and personalisation is data-driven, looks at the AI and data technologies making this possible and surveys the current uptake and usage of those technologies. We examine the current state-of-the-art in standards and best practices for data-driven technologies and identify remaining limitations and gaps for research and innovation. Our hope is that this survey provides an overview of the current state of AI and data-driven technologies for use within broadcasters and media organisations. It also provides a pathway to the needed research and innovation activities to fulfil the vision of data-driven personalisation of TV content.
Files
mmsj2022_accepted.pdf
Files
(8.0 MB)
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