Teaching Research on E-commerce Micro-media Recommendation Data Analysis by Integrating Singular Value Decomposition Algorithm

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Hui Du


This study investigates the efficacy of integrating the Singular Value Decomposition (SVD) algorithm into e-commerce micro-media recommendation data analysis, focusing on its application in teaching contexts. In the digital age, e-commerce platforms rely heavily on recommendation systems to personalize user experiences and drive sales. Micro-media, with its concise and visually appealing format, has emerged as a potent tool for enhancing user engagement. Leveraging advanced algorithms like SVD holds promise for improving recommendation accuracy and user satisfaction. The methodology encompasses theoretical exploration, practical implementation, and pedagogical considerations. A comprehensive review of the literature establishes the theoretical foundation, elucidating SVD principles and their relevance to e-commerce micro-media recommendation. Real-world e-commerce datasets are used for data analysis experiments, demonstrating SVD's effectiveness in generating personalized recommendations. Pedagogical strategies are integrated to bridge theory and practice, empowering participants with skills vital for e-commerce analytics. Statistical analysis reveals significant improvements in recommendation accuracy, user engagement metrics, and computational efficiency post-SVD integration. Precision, recall, and F1-score metrics show notable increases in recommendation quality, while user engagement metrics, like click-through rates, indicate enhanced user interaction with recommended content. Furthermore, the algorithm exhibits robust computational performance, enabling real-time recommendations in dynamic e-commerce environments. This study contributes to e-commerce recommendation systems and pedagogical approaches in data analytics education. By leveraging SVD, e-commerce platforms can enhance user experiences and drive engagement, ultimately increasing revenue. Integrating algorithmic concepts into teaching curricula equips students with practical skills and theoretical knowledge crucial for navigating modern e-commerce landscapes.

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