3 papers
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…
cs.IR2025
Towards Multi-Aspect Diversification of News Recommendations Using Neuro-Symbolic AI for Individual and Societal Benefit
Markus Reiter-Haas, Elisabeth Lex
News recommendations are complex, with diversity playing a vital role. So far, existing literature predominantly focuses on specific aspects of news diversity, such as viewpoints.…