Analysis and Design of a Personalized Recommendation System Based on a Dynamic User Interest Model

Understand

With the rapid development of the internet and the explosion of information, providing users with accurate personalized recommendations has become an important research topic.

• This paper designs and analyzes a personalized recommendation system based on a dynamic user interest model.
• The system captures user behavior data, constructs a dynamic user interest model, and combines multiple recommendation algorithms to provide personalized content to users.
• The research results show that this system significantly improves recommendation accuracy and user satisfaction.