9 citations · 12 across the 9 of their papers we have counts for
3 papers · 1 filter
Beyond Offline A/B Testing: Context-Aware Agent Simulation for Recommender System Evaluation
Nicolas Bougie, Gian Maria Marconi, Xiaotong Ye +1
Recommender systems are central to online services, enabling users to navigate through massive amounts of content across various domains. However, their evaluation remains challeng…
AlignUSER: Human-Aligned LLM Agents via World Models for Recommender System Evaluation
Nicolas Bougie, Gian Maria Marconi, Tony Yip +1
Evaluating recommender systems remains challenging due to the gap between offline metrics and real user behavior, as well as the scarcity of interaction data. Recent work explores…
SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation
Nicolas Bougie, Narimasa Watanabe
Recommender systems play a central role in numerous real-life applications, yet evaluating their performance remains a significant challenge due to the gap between offline metrics…