FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms

Patro Gourab K.
Patro Gourab K.
Biswas Arpita
Biswas Arpita

WWW '20: The Web Conference 2020 Taipei Taiwan April, 2020, pp. 1194-1204, 2020.

Cited by: 2|Bibtex|Views74|DOI:https://doi.org/10.1145/3366423.3380196
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Other Links: arxiv.org|dl.acm.org|academic.microsoft.com|dblp.uni-trier.de

Abstract:

We investigate the problem of fair recommendation in the context of two-sided online platforms, comprising customers on one side and producers on the other. Traditionally, recommendation services in these platforms have focused on maximizing customer satisfaction by tailoring the results according to the personalized preferences of indivi...More

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