Data-driven personalisation of television content: a survey

Lyndon Nixon; Jeremy Foss; Konstantinos Apostolidis; Vasileios Mezaris

doi:10.1007/s00530-022-00926-6

Data-driven personalisation of television content: a survey

Lyndon Nixon, Jeremy Foss, Konstantinos Apostolidis, Vasileios Mezaris^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

3 Citations (SciVal)

Original language	English
Journal	Multimedia Systems
DOIs	https://doi.org/10.1007/s00530-022-00926-6
Publication status	Published (VoR) - 23 Apr 2022

Keywords

Broadcasting
Data-driven TV
Deep learning
Media analysis
Media annotation
Personalisation
Recommendation

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10.1007/s00530-022-00926-6

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title = "Data-driven personalisation of television content: a survey",

keywords = "Broadcasting, Data-driven TV, Deep learning, Media analysis, Media annotation, Personalisation, Recommendation",

author = "Lyndon Nixon and Jeremy Foss and Konstantinos Apostolidis and Vasileios Mezaris",

note = "Funding Information: This work was supported by the EU{\textquoteright}s Horizon 2020 research and innovation programme under Grant Agreements H2020-780656 ReTV and H2020-951911 AI4Media. Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.",

year = "2022",

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doi = "10.1007/s00530-022-00926-6",

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T2 - a survey

AU - Nixon, Lyndon

AU - Foss, Jeremy

AU - Apostolidis, Konstantinos

AU - Mezaris, Vasileios

N1 - Funding Information: This work was supported by the EU’s Horizon 2020 research and innovation programme under Grant Agreements H2020-780656 ReTV and H2020-951911 AI4Media. Publisher Copyright: © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

PY - 2022/4/23

Y1 - 2022/4/23

KW - Broadcasting

KW - Data-driven TV

KW - Deep learning

KW - Media analysis

KW - Media annotation

KW - Personalisation

KW - Recommendation

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AN - SCOPUS:85128762206

SN - 0942-4962

JO - Multimedia Systems

JF - Multimedia Systems

ER -

Data-driven personalisation of television content: a survey

Keywords

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