Enhong Chen

A new framework enhances user recommendations across various interests.

A new framework focuses on enhancing dataset quality for better recommendations.

CELL framework improves feature interaction selection for personalized recommendations.

A new framework enhances recommendations for users with limited history.

ConSoR enhances the understanding of social connections through visual context analysis.

Effective data selection improves performance in large language models.

Examining how online ratings can mislead consumers and methods to improve accuracy.

A new method for agents to choose options efficiently and maximize rewards.

A new model enhances efficiency and accuracy in recommendation systems.

A new approach enhances video data handling while maintaining performance in real-time applications.

New models improve product suggestions based on user behavior.

Discover how data quality enhances recommendation systems for better user experiences.

Nodes work together to improve learning without a central server.

Researchers uncover insights into AI learning through examples in math.

NHL offers efficient image retrieval with varying hash code lengths.

Advancements in table recognition using VLLMs improve performance with low-quality images.