User Interest

User interest modeling aims to understand and predict individual preferences to personalize experiences, primarily in recommendation systems and related applications. Current research focuses on representing user interests in multimodal spaces, leveraging large language models to explore novel interests, and dynamically adapting interest representations to different contexts using techniques like attention mechanisms and hierarchical frameworks. These advancements significantly improve the accuracy and relevance of personalized recommendations, impacting user engagement across various online platforms and potentially informing other areas like personalized healthcare and education.