{"url":"/task/exposure-fairness","name":"Exposure Fairness","slug":"exposure-fairness","description_markdown":null,"categories":[{"name":"Adversarial","url":"/area/adversarial"},{"name":"Computer Vision","url":"/area/computer-vision"},{"name":"Miscellaneous","url":"/area/miscellaneous"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"derived"},"counts":{"papers_tagged":15,"papers_with_code":8,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":0,"subtasks":0,"parent_tasks":1},"benchmarks":[],"datasets":[],"subtasks":[],"parent_tasks":[{"url":"/task/fairness","name":"Fairness"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":8,"of":8,"tagged_in_all":15,"items":[{"url":"/paper/joint-multisided-exposure-fairness-for","title":"Joint Multisided Exposure Fairness for Recommendation","date":"2022-04-29","arxiv_id":"2205.00048","repositories_listed":2,"syntology":{"n":9,"n_ran":7,"n_unverified":2,"n_pointer_only":9}},{"url":"/paper/joint-evaluation-of-fairness-and-relevance-in","title":"Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier","date":"2025-02-17","arxiv_id":"2502.11921","repositories_listed":1,"syntology":null},{"url":"/paper/mitigating-exposure-bias-in-online-learning","title":"Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits","date":"2024-08-08","arxiv_id":"2408.04332","repositories_listed":1,"syntology":null},{"url":"/paper/can-we-trust-recommender-system-fairness","title":"Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance","date":"2024-05-28","arxiv_id":"2405.18276","repositories_listed":1,"syntology":null},{"url":"/paper/scalable-and-provably-fair-exposure-control","title":"Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems","date":"2024-02-22","arxiv_id":"2402.14369","repositories_listed":1,"syntology":null},{"url":"/paper/simultaneously-achieving-group-exposure","title":"Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits","date":"2024-02-08","arxiv_id":"2402.05575","repositories_listed":1,"syntology":null},{"url":"/paper/evaluation-measures-of-individual-item","title":"Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study","date":"2023-11-02","arxiv_id":"2311.01013","repositories_listed":1,"syntology":null},{"url":"/paper/fairgan-gans-based-fairness-aware-learning","title":"FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback","date":"2022-04-25","arxiv_id":null,"repositories_listed":1,"syntology":null}],"syntology_records":1,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-25T09:33:49+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}