Intelligent Classification and Personalized Recommendation of E-commerce Products Based on Machine Learning

Understand

With the rapid evolution of the Internet and the exponential proliferation of information, users encounter information overload and the conundrum of choice.

• Personalized recommendation systems play a pivotal role in alleviating this burden by aiding users in filtering and selecting information tailored to their preferences and requirements.
• Such systems not only enhance user experience and satisfaction but also furnish opportunities for businesses and platforms to augment user engagement, sales, and advertising efficacy.This paper undertakes a comparative analysis between the operational mechanisms of traditional e-commerce commodity classification systems and personalized recommendation systems.
• It delineates the significance and application of personalized recommendation systems across e-commerce, content information, and media domains.