REDUCING RECOMMENDATION INEQUALITY VIA TWO‐SIDED MATCHING: A FIELD EXPERIMENT OF ONLINE DATING

Leading dating platforms usually recommend only a small fraction of users based on users' popularity and similarity, leading to recommendation inequality. We use a stylized matching model from economics to modify existing algorithms to reduce inequality. We evaluate the proposed method through...

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Veröffentlicht in:International economic review (Philadelphia) 2023-08, Vol.64 (3), p.1201-1221
Hauptverfasser: Chen, Kuan‐Ming, Hsieh, Yu‐Wei, Lin, Ming‐Jen
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Sprache:eng
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