Media & Information Interaction
The Media & Information Interaction Group develops AI systems for media and information interaction grounded in language, human interpretation, and information practices.
Introduction
The Media & Information Interaction Group develops AI systems for media and information interaction informed by language, human interpretation, and information practices. Our research combines recommender systems, information retrieval, and natural language processing to build systems that better reflect how people experience, understand, and interact with information and media.
We study subjective and contextual aspects of information interaction, including how people perceive relevance, how narratives and conversations shape media experiences, and how media representations can better account for personalization, contextual interpretation, and real-world domain constraints. Our work also develops human-centered evaluation methodologies that integrate computational, behavioral, and qualitative perspectives.
We work across domains such as music, podcasts, audiobooks, news, and conversational content in close collaboration with industry and interdisciplinary partners.
Our group is regularly posting job openings ranging from internships to researcher positions. To check the opportunities currently available or to submit a speculative applications use the link below.