Santiago De Leon Martinez
Researcher in eye tracking and recommender systems affiliated with the Kempelin Institute and Brno University of Technology; doctoral student working on the RecGaze dataset and gaze-informed recommendation research.
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Dec 18, 2025 • 52min
Eye Tracking in Recommender Systems
In this discussion, guest Santiago De Leon Martinez, a doctoral researcher at the Kempelin Institute, dives into the innovative use of eye tracking in recommender systems. He reveals the mechanics behind gaze data, fixations, and saccades, showcasing the RecGaze dataset tailored for studying browsing patterns. Santiago highlights how eye tracking can uncover insights beyond traditional click data, addressing positional bias and user engagement. He also addresses ethical concerns and shares his vision for improving recommendation algorithms by simulating user behavior.
