Joemon M Jose

Joemon M Jose is Professor of Information Retrieval at the University of Glasgow's School of Computing Science. His research develops adaptive information retrieval systems, multimodal interaction techniques, and machine learning approaches for recommender systems and social media analysis.

Current work explores reinforcement learning frameworks combined with large language models for recommendation, neural approaches to multimodal representation learning, and affective computing for engagement prediction. Recent innovations include LLM-driven policy optimization and transformer-based sequential recommendations.

Contributions span personalized search, diversity-aware retrieval, and evaluation methodologies. Collaborative projects investigate cross-modal alignment, temporal query modeling, and fairness in information access systems.