Maxime Manderlier

According to our database, Maxime Manderlier authored at least 3 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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, Nicolas Gillis

Proceedings of the 12th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2025) co-located with 19th ACM Conference on Recommender Systems (RecSys 2025), 2025

2024

RecSys Challenge 2023: From data preparation to prediction, a simple, efficient, robust and scalable solution.

Maxime Manderlier, Fabian Lecron

CoRR, 2024

Evaluation and simplification of text difficulty using LLMs in the context of recommending texts in French to facilitate language learning.

Henri Jamet, Maxime Manderlier, Yash Raj Shrestha, Michalis Vlachos

Proceedings of the 18th ACM Conference on Recommender Systems, 2024