Predicting your future audience’s popular topics to optimize TV content marketing success

Lyndon Nixon

doi:10.1145/3422839.3423062

Predicting your future audience’s popular topics to optimize TV content marketing success

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

TV broadcasters and other organizations with online media collections which wish to extend the reach of and engagement with their media assets conduct digital marketing activities. The marketing success depends on the relevance of the topics of the media content to the audience, which is made even more difficult when planning future marketing activities as one needs to know the topics that the future audience will be interested in. This paper presents the innovative application of AI based predictive analytics to identify the topics that will be more popular among future audiences and its use in a digital content marketing strategy of media organisations.

Original language	English
Title of host publication	AI4TV '20: Proceedings of the 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery
Pages	5-10
DOIs	https://doi.org/10.1145/3422839.3423062
Publication status	Published - 12 Oct 2020
Event	ACM Multimedia Conference 2020 - Duration: 12 Oct 2020 → 16 Oct 2020

Conference

Conference	ACM Multimedia Conference 2020
Period	12/10/2020 → 16/10/2020

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10.1145/3422839.3423062

Cite this

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title = "Predicting your future audience{\textquoteright}s popular topics to optimize TV content marketing success",

abstract = "TV broadcasters and other organizations with online media collections which wish to extend the reach of and engagement with their media assets conduct digital marketing activities. The marketing success depends on the relevance of the topics of the media content to the audience, which is made even more difficult when planning future marketing activities as one needs to know the topics that the future audience will be interested in. This paper presents the innovative application of AI based predictive analytics to identify the topics that will be more popular among future audiences and its use in a digital content marketing strategy of media organisations.",

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AB - TV broadcasters and other organizations with online media collections which wish to extend the reach of and engagement with their media assets conduct digital marketing activities. The marketing success depends on the relevance of the topics of the media content to the audience, which is made even more difficult when planning future marketing activities as one needs to know the topics that the future audience will be interested in. This paper presents the innovative application of AI based predictive analytics to identify the topics that will be more popular among future audiences and its use in a digital content marketing strategy of media organisations.

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DO - 10.1145/3422839.3423062

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T2 - ACM Multimedia Conference 2020

Y2 - 12 October 2020 through 16 October 2020

ER -

Predicting your future audience’s popular topics to optimize TV content marketing success

Abstract

Conference

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