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…