Streaming Algorithms for Diversity Maximization with Fairness Constraints-Reference-Cited by-同舟云学术

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Streaming Algorithms for Diversity Maximization with Fairness Constraints

Published:2022-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 38th International Conference on Data Engineering (ICDE)
language:
Short-container-title:

Author:

Wang Yanhao¹,Fabbri Francesco²,Mathioudakis Michael³

Affiliation:

1. East China Normal University,School of Data Science and Engineering,Shanghai,China

2. Universitat Pompeu Fabra,Department of Information and Communication Technologies,Barcelona,Spain

3. University of Helsinki,Department of Computer Science,Helsinki,Finland

Funder

Academy of Finland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9835153/9835154/09835169.pdf?arnumber=9835169

Reference41 articles.

1. Scalable Feature Selection via Distributed Diversity Maximization

2. Fair and Representative Subset Selection from Data Streams

3. Diverse data selection under fairness constraints;moumoulidou;ICDT,2021

4. Diversity in recommender systems – A survey

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1. Max-Min Diversification with Asymmetric Distances;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

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3. Dual-Teacher De-Biasing Distillation Framework for Multi-Domain Fake News Detection;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

4. Data distribution tailoring revisited: cost-efficient integration of representative data;The VLDB Journal;2024-04-12

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