{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005104735,0.0001961912,0.000274943,0.0002711078,0.000221175,0.0006064081,0.0007054444,0.00006256282,0.000005884596],"category_scores_gemma":[0.00001418116,0.0001712715,0.00004998217,0.001417014,0.000008487677,0.0009915383,0.0005552609,0.00011023,0.00006595664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001002351,"about_ca_system_score_gemma":0.0000368011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002475874,"about_ca_topic_score_gemma":0.00002560845,"domain_scores_codex":[0.9982976,0.000119148,0.0003614468,0.0005096484,0.0002607784,0.000451377],"domain_scores_gemma":[0.9989635,0.0001140577,0.00008308863,0.0005709243,0.0001245043,0.0001439775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002194359,0.00008939853,0.0005937066,0.0003465511,0.0002002284,0.0001183698,0.01861047,0.07791462,0.009918931,0.2723132,0.3415636,0.278309],"study_design_scores_gemma":[0.0001537684,0.00006522861,0.00006494531,0.0001340958,0.000002579783,0.00001815427,0.001078093,0.9666243,0.002627781,0.00200222,0.02684113,0.0003877738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003133445,0.00008362742,0.9752275,0.001687933,0.001065647,0.000812594,0.000004060648,0.001928225,0.01605692],"genre_scores_gemma":[0.9301508,0.0000228253,0.0670585,0.0008179118,0.0001236035,0.0007381329,0.000003155817,0.00002886046,0.001056218],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9270173,"threshold_uncertainty_score":0.6984249,"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."}}