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Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics.

, , , , , , , and . Patterns, 4 (8): 100822 (August 2023)

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Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics., , , , , , , and . CoRR, (2022)Automated Vulnerability Detection in Source Code Using Deep Representation Learning., , , , , , , and . ICMLA, page 757-762. IEEE, (2018)Accelerating Artificial Intelligence with Silicon Photonics., , , , , , , , , and 11 other author(s). OFC, page 1-4. IEEE, (2020)Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics., , , , , , , and . Patterns, 4 (8): 100822 (August 2023)Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems., , , , and . CoRR, (2022)Automated software vulnerability detection with machine learning., , , , , , , , , and 4 other author(s). CoRR, (2018)Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics., , , , , , , and . Patterns, 3 (8): 100568 (2022)Exposure to Marginally Abusive Content on Twitter., and . ICWSM, page 24-33. AAAI Press, (2023)Filter bubbles and affective polarization in user-personalized large language model outputs.. CoRR, (2023)TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter., , , , , , , , , and 1 other author(s). AdKDD@KDD, volume 3556 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)