Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions. - Timo Wilm; Philipp Normann; Sophie Baumeister; Paul-Vincent Kobow (RecSys, 2023)

Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems. - Timo Wilm; Philipp Normann; Felix Stepprath (RecSys, 2024)

Industry Insights from Comparing Deep Learning and GBDT Models for E-Commerce Learning-to-Rank. - Yunus Lutz; Timo Wilm; Philipp Duwe (RecSys, 2025)

Identifying Offline Metrics that Predict Online Impact: A Pragmatic Strategy for Real-World Recommender Systems. - Timo Wilm; Philipp Normann (RecSys, 2025)