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Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems

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Published in:ArXiv cs.IR Recent Papers
Format: Online Article RSS Article
Published: 2026
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spellingShingle Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems
ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
sub_discipline_display Library Science
sub_discipline_facet Library Science
subject_display ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
subject_facet ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
title Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems
title_auth Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems
title_full Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems
title_fullStr Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems
title_full_unstemmed Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems
title_short Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems
title_sort fair agents: balancing multistakeholder alignment in multi-agent personalization systems
topic ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
url https://arxiv.org/abs/2605.02379v1