The Frontiers of Society, Science and Technology, 2024, 6(11); doi: 10.25236/FSST.2024.061103.
Zian Xu
Television School, Communication University of China, Beijing, 100024, China
The era of big data brings new opportunities for audience behavior pattern identification and prediction. This study applies big data analytics methods, such as machine learning and deep learning, to dig deeper into viewer behavior patterns and improve the accuracy of personalized recommendations. A prediction model based on time series analysis is designed, and the value of big data methods in precision marketing and service optimization is confirmed through evaluation and optimization. Meanwhile, the study faces challenges such as data privacy, quality and model generalization. Taken together, this study provides new perspectives on theory and application, and looks forward to a promising future for the application of big data in audience behavior research.
big data; audience behavior patterns; predictive models; personalized recommendation
Zian Xu. Research on Audience Behavior Pattern Recognition and Prediction Based on Big Data Analysis. The Frontiers of Society, Science and Technology (2024), Vol. 6, Issue 11: 15-20. https://doi.org/10.25236/FSST.2024.061103.
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