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Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems.

, , , , and . CIKM, page 3753-3757. ACM, (2023)

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Exposure Inequality in People Recommender Systems: The Long-Term Effects., , , and . CoRR, (2021)Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks., , , , , , , , , and 4 other author(s). CoRR, (2024)Graph Learning for Exploratory Query Suggestions in an Instant Search System., , , , , , , , , and 4 other author(s). CIKM, page 4780-4786. ACM, (2023)The Interconnected Nature of Online Harm and Moderation: Investigating the Cross-Platform Spread of Harmful Content between YouTube and Twitter., , , and . HT, page 39:1-39:10. ACM, (2023)Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract)., , , , and . IJCAI, page 6431-6435. ijcai.org, (2023)GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning., , , , and . CoRR, (2023)Streaming Submodular Maximization with Fairness Constraints., , and . CoRR, (2020)The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy., , , , , , , , , and 22 other author(s). CoRR, (2020)From the Beatles to Billie Eilish: Connecting Provider Representativeness and Exposure in Session-Based Recommender Systems., , , and . ECIR (2), volume 12657 of Lecture Notes in Computer Science, page 201-208. Springer, (2021)Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways., , , , and . WWW, page 2719-2728. ACM, (2022)