Article

Fairness Identification of Large Language Models in Recommendation

2024-11-15

Abstract excerpt

<title>Abstract</title> <p>Ensuring fairness in recommendation systems necessitates that models do not discriminate against users based on demographic information such as gender and age. Current fairness strategies often apply a unified fairness intervention, presuming that users' recommendation results are adversely influenced by sensitive attributes. This approach can sometimes diminish both the utility and fai...

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Literature Corpus work: d19e4123-e221-550b-8941-36e74d99ef21
DOI: 10.21203/rs.3.rs-5228643/v1

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