Design of Personalized Recommendation System for E-commerce Based on Artificial Intelligence

A personalized recommendation system was designed and implemented for e-commerce using artificial intelligence (AI) to enhance user experience and promote sales. The system is important in e-commerce as it recommends personalized products by analyzing user behavior, preferences, and historical data. Users' satisfaction can be increased to heighten the shopping cart conversion rate. In this study, deep learning and machine learning algorithms were used combined with big data analysis. In the personalized recommendation model, user privacy protection was taken into account, and encryption and anonymization techniques were used to ensure the security of user information.