{"id":"W4390045074","doi":"10.1109/icdacai59742.2023.00152","title":"Debiasing Recommender Systems: Applying DANCER to Neural Collaborative Filtering Models","year":2023,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Debiasing; Recommender system; Computer science; Collaborative filtering; Artificial neural network; Artificial intelligence; Human–computer interaction; Information retrieval; Cognitive science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003195032,0.0007495211,0.001135795,0.0008078981,0.0006103886,0.0008287797,0.001426478,0.001509691,0.001562742],"category_scores_gemma":[0.01009073,0.0003419119,0.0006024325,0.0005907586,0.0005551025,0.001377163,0.0007183029,0.001476578,0.0003896127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197101,"about_ca_system_score_gemma":0.0006388899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02680482,"about_ca_topic_score_gemma":0.03474583,"domain_scores_codex":[0.9990256,0.0004096059,0.00004416021,0.0002705174,0.0001661816,0.00008397791],"domain_scores_gemma":[0.9970607,0.00173566,0.0001827429,0.0004955676,0.0004320184,0.0000933242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004200839,0.0003384654,0.009505823,0.0001885213,0.000297017,0.0001258924,0.0002920574,0.6820772,0.003484839,0.007762557,0.004825823,0.2906817],"study_design_scores_gemma":[0.00001121949,0.00004379278,0.0004849461,0.000007542288,0.00001114506,0.00001554403,0.000009731827,0.9973388,0.0003908988,0.00129548,0.0003837622,0.000007135197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3079612,0.005406986,0.6730885,0.002220904,0.0003424959,0.0002029305,0.000496805,0.002677962,0.007602215],"genre_scores_gemma":[0.8668034,0.0004875492,0.1276383,0.0003589123,0.00009116173,0.00006668371,0.0003485842,0.00006185483,0.004143508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02680482,"threshold_uncertainty_score":0.05329758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07187551934670638,"score_gpt":0.3005531826654894,"score_spread":0.228677663318783,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}