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When Online Dating Meets Nash Social Welfare: Achieving Efficiency and Fairness

Published: 23 April 2018 Publication History

Abstract

Mobile dating applications such as Coffee Meets Bagel, Tantan, and Tinder, have become significant for young adults to meet new friends and discover romantic relationships. From a system designer's perspective, in order to achieve better user experience in these applications, we should take both the efficiency and fairness of a dating market into consideration, so as to increase the overall satisfaction for all users. Towards this goal, we investigate the nature of diminishing marginal returns for online dating markets (i.e., captured by the submodularity), and trade-off between the efficiency and fairness of the market with Nash social welfare. We further design effective online algorithms to the apps. We verify our models and algorithms through sound theoretical analysis and empirical studies by using real data and show that our algorithms can significantly improve the ecosystems of the online dating applications.

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Cited By

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  • (2022)Optimizing Generalized Gini Indices for Fairness in RankingsProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3477495.3532035(737-747)Online publication date: 6-Jul-2022
  • (2021)Declarative Variables in Online DatingProceedings of the ACM on Human-Computer Interaction10.1145/34491745:CSCW1(1-32)Online publication date: 22-Apr-2021
  • (2020)Interface culture and gendered privacy risks in the context of Chinese locative social media useSocial Identities10.1080/13504630.2020.1814725(1-16)Online publication date: 3-Sep-2020

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      cover image ACM Other conferences
      WWW '18: Proceedings of the 2018 World Wide Web Conference
      April 2018
      2000 pages
      ISBN:9781450356398
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      • IW3C2: International World Wide Web Conference Committee

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      Republic and Canton of Geneva, Switzerland

      Publication History

      Published: 23 April 2018

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      • Tsinghua Initiative Research Program Grant

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      • IW3C2
      WWW '18: The Web Conference 2018
      April 23 - 27, 2018
      Lyon, France

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      WWW '18 Paper Acceptance Rate 170 of 1,155 submissions, 15%;
      Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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      View all
      • (2022)Optimizing Generalized Gini Indices for Fairness in RankingsProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3477495.3532035(737-747)Online publication date: 6-Jul-2022
      • (2021)Declarative Variables in Online DatingProceedings of the ACM on Human-Computer Interaction10.1145/34491745:CSCW1(1-32)Online publication date: 22-Apr-2021
      • (2020)Interface culture and gendered privacy risks in the context of Chinese locative social media useSocial Identities10.1080/13504630.2020.1814725(1-16)Online publication date: 3-Sep-2020

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