Research on the Application of Personalized Recommendation Algorithm Based on Big Data Analysis in Digital Marketing

With the advent of the digital economy era, big data has emerged as a strategic production factor encompassing the entire value creation, distribution, circulation, and consumption process. Algorithms have evolved into indispensable tools for data collection and processing, giving rise to algorithm-based recommendations that serve as a pivotal driving force behind intelligent marketing innovation and empowerment in recent years. However, there are still many problems in practical application, and the most significant challenge is inaccurate market positioning. The personalized recommendation algorithm has become one of the most potent tools for addressing information overload, enabling accurate and effective prediction of user preferences through advanced big data analysis technology and personalized recommendation algorithms. Consequently, it facilitates the attainment of digital precision marketing objectives.