Understand
User preference, content, and context
We build AI systems that understand users, recommend what matters, generate personalized experiences, and interact through intelligent conversation.
User preference, content, and context
Ranking, prediction, and personalization
LLMs, multimodal AI, and generative recommendation
AI agents, RAG, and intelligent conversation
Our research connects user understanding, recommendation, generation, and interaction to build personalized AI systems that are useful, adaptive, and trustworthy.
Modeling user preferences, behavior, and context to deliver relevant and trustworthy recommendations.
Understanding users and content through text, images, reviews, and behavioral signals.
Connecting foundation models with personalization to generate adaptive content and recommendations.
Building AI agents that retrieve knowledge, reason with context, and interact naturally with users.
Discover recent research achievements, publications, awards, seminars, and activities from PRISM Lab. Visit the News page to explore the full archive.
At PRISM Lab, students grow from learning AI foundations to exploring ideas, building models, conducting rigorous research, and sharing meaningful results.
Build foundations in AI and data.
Discover questions in personalized AI.
Develop models and intelligent services.
Design and evaluate rigorous experiments.
Present findings through papers and conferences.
Curious about personalized AI? Join PRISM Lab and turn your interests into meaningful research.
Join PRISM Lab