Research on Quantitative Assessment Algorithm of Media Effect Based on User Behaviour Data Mining

This research delves into the realm of media impact assessment, particularly focusing on utilizing data mining techniques on user behavior data. Initially, the study establishes the significance of quantitative evaluation of media effects within historical and modern contexts. By incorporating a comprehensive literature review, Wu xuanyi4the research highlights the evolution from traditional methods to contemporary quantitative techniques, emphasizing the role of user behavior data mining. The paper then offers a detailed exploration of data sources, preprocessing techniques, and familiar tools employed in data mining. A novel algorithm for media effect assessment, grounded in robust theoretical foundations, is introduced and juxtaposed against existing methods, highlighting its unique features and advantages. Through rigorous experimental setups and results analysis, the study validates the efficacy of the proposed algorithm. Concluding discussions weigh the proposed algorithm against its counterparts, pinpoint current limitations, and suggest avenues for future research. This paper aims to bridge the gap between user behavior data mining and quantifiable media effect assessment, offering insights and tools for researchers and practitioners in the field.