Olivier Jeunen
4 papers in the PaperMetrix corpus
Papers by this author
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On the Value of Bandit Feedback for Offline Recommender System Evaluation
2019 · arXiv
In academic literature, recommender systems are often evaluated on the task of next-item prediction. The procedure aims to give an answer to the question: "Given the natural sequence of user-item interactions up to time t, …
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Revisiting offline evaluation for implicit-feedback recommender systems
2019
Recommender systems are typically evaluated in an offline setting. A subset of the available user-item interactions is sampled to serve as test set, and some model trained on the remaining data points is then evaluated …
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Learning-to-Rank with Nested Feedback
2024 · arXiv (Cornell University)
Many platforms on the web present ranked lists of content to users, typically optimized for engagement-, satisfaction- or retention- driven metrics. Advances in the Learning-to-Rank (LTR) research literature have enabled rapid growth in this application …
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Procedural Memory Is Not All You Need
2025
Large Language Models (LLMs) represent a landmark achievement in Artificial Intelligence (AI), demonstrating unprecedented proficiency in procedural tasks such as text generation, code completion, and conversational coherence.These capabilities stem from their architecture, which mirrors human …