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Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

Audience Analysis and Program Customization Strategies for Broadcasting and Television under the Background of Big Data

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DOI: 10.25236/ieesasm.2024.025

Author(s)

Hongtan Li, Zefeng Lin

Corresponding Author

Hongtan Li

Abstract

Facing the increasingly fierce competition environment and changing audience demand in the radio and television industry, big data technology provides a brand-new perspective and tools for the industry. This article mainly discusses the application of big data technology in radio and television industry, especially its role in audience analysis and program customization strategy formulation. Firstly, this article summarizes the background and significance of big data technology, and analyzes the importance and potential of big data in radio and television industry. Then, the article discusses in detail the audience analysis of radio and television under the background of big data, including the overview of big data technology, the sources and types of audience data, the analysis of audience characteristics and behavior patterns, and the analysis of audience feedback and emotion. On this basis, the article further studies the formulation and implementation of program customization strategy, including the theoretical basis of customization strategy, program content customization based on big data, program scheduling and broadcasting strategy, and innovation of interaction and participation mechanism. More innovative modes and application scenarios will be explored to promote the sustainable development of the industry.

Keywords

Big data technology; Radio and television industry; Audience analysis; Program customization; Challenges and countermeasures