Fairness-aware Bandit-based Recommendation

2021 IEEE International Conference on Big Data (Big Data)(2021)

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摘要
Personalized recommendation based on multi-arm bandit (MAB) algorithms has shown to lead to high utility and efficiency as it can dynamically adapt the recommendation strategy based on feedback. However, unfairness could incur in personalized recommendation. In this paper, we study how to achieve user-side fairness in bandit based recommendation. We formulate our fair personalized recommendation a...
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关键词
Contextual Bandit,Fairness,Online Recommendation
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