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cs.IR2025
LLM-as-a-Judge: Toward World Models for Slate Recommendation Systems
Baptiste Bonin, Maxime Heuillet, Audrey Durand
Modeling user preferences across domains remains a key challenge in slate recommendation (i.e. recommending an ordered sequence of items) research. We investigate how Large Languag…
cs.IR2025
Preference-based learning for news headline recommendation
Alexandre Bouras, Audrey Durand, Richard Khoury
This study explores strategies for optimizing news headline recommendations through preference-based learning. Using real-world data of user interactions with French-language onlin…