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cs.IR2026
Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems
Andrea Forster, Peter Müllner, Denis Helic +2
LLM agents are increasingly used for personalization due to their ability to communicate directly with users in natural language, integrate external knowledge bases, and negotiate…
cs.LG2026
Modeling Behavioral Patterns in News Recommendations Using Fuzzy Neural Networks
Kevin Innerebner, Stephan Bartl, Markus Reiter-Haas +1
News recommender systems are increasingly driven by black-box models, offering little transparency for editorial decision-making. In this work, we introduce a transparent recommend…