2 papers
cs.AI2025
From latent factors to language: a user study on LLM-generated explanations for an inherently interpretable matrix-based recommender system
Maxime Manderlier, Fabian Lecron, Olivier Vu Thanh +1
We investigate whether large language models (LLMs) can generate effective, user-facing explanations from a mathematically interpretable recommendation model. The model is based on…
cs.IR2024
RecSys Challenge 2023: From data preparation to prediction, a simple, efficient, robust and scalable solution
Maxime Manderlier, Fabian Lecron
The RecSys Challenge 2023, presented by ShareChat, consists to predict if an user will install an application on his smartphone after having seen advertising impressions in ShareCh…