A common approach for consumer and provider fairness in recommendations
We present a common approach for handling consumer and provider fairness in recommendations. Our solution requires defining two key components, a classification of items and a target distribution, which together define the case of perfect fairness. This formulation allows distinct fairness concepts...
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Main Authors: | , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2019
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Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/6943 https://ink.library.smu.edu.sg/context/sis_research/article/7946/viewcontent/CommonApproachConsumerFairness_2019.pdf |
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Institution: | Singapore Management University |
Language: | English |
Summary: | We present a common approach for handling consumer and provider fairness in recommendations. Our solution requires defining two key components, a classification of items and a target distribution, which together define the case of perfect fairness. This formulation allows distinct fairness concepts to be specified in a common framework. We further propose a novel reranking algorithm that optimizes for a desired trade-off between utility and fairness of a recommendation list. |
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