Enhancing Marketing Personalized Shopping Recommendations in the UAE: Leveraging Logic Mining and Advanced Technologies

This study investigates how personalized recommendation systems in e-commerce operate, using Social Exchange Theory as its theoretical basis. Through empirical research, we analyze the effects of improving consumer experiences, enhancing product suggestions, and building trust and satisfaction on the effectiveness of personalized recommendation systems. Our study combines practical techniques with theoretical knowledge to improve user engagement and build long-lasting brand loyalty. This research provides valuable insights for e-commerce stakeholders, suggesting that individualized recommendations might enhance consumer satisfaction in the digital marketplace.