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Heiko Paulheim

2 accepted papers

2024

By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning

IJCAI 2024poster

In the rapidly evolving landscape of eCommerce, Artificial Intelligence (AI) based pricing algorithms, particularly those utilizing Reinforcement Learning (RL), are becoming increasingly prevalent. This rise has led to an inextricable pricing situation with the potential for market collusion. Our re…

2024

Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation

EMNLP 2024finding

Recent neural news recommenders (NNRs) extend content-based recommendation (1) by aligning additional aspects (e.g., topic, sentiment) between candidate news and user history or (2) by diversifying recommendations w.r.t. these aspects. This customization is achieved by ”hardcoding” additional constr…