{"id":"W3040127368","doi":"10.1145/3397271.3401181","title":"Neural Interactive Collaborative Filtering","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Human–computer interaction; Artificial intelligence; Multimedia","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":[0.002290358,0.001262869,0.001732308,0.001033141,0.0009103639,0.001500981,0.002815063,0.002448758,0.004136077],"category_scores_gemma":[0.008053695,0.0005948826,0.0009767765,0.001379212,0.001472175,0.002928365,0.001596868,0.001722363,0.0007958922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001815389,"about_ca_system_score_gemma":0.0009419569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01403222,"about_ca_topic_score_gemma":0.01207951,"domain_scores_codex":[0.9980733,0.0005069678,0.00009043278,0.0005800492,0.0004701839,0.0002789465],"domain_scores_gemma":[0.9957566,0.002735643,0.0003190434,0.000448976,0.0005884408,0.0001512777],"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":[0.0002467114,0.0002498501,0.001874139,0.0001930764,0.00021311,0.0002336977,0.0002616877,0.8499289,0.002615518,0.03346042,0.002394348,0.1083285],"study_design_scores_gemma":[0.00001156825,0.00003107134,0.0001713023,0.000006068508,0.00001632751,0.00002342321,0.000007726586,0.992644,0.0003753104,0.005991763,0.0007134111,0.000007963313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02453868,0.001088967,0.9662306,0.0003823458,0.0001139319,0.00007184284,0.0001203014,0.000627013,0.006826395],"genre_scores_gemma":[0.86802,0.0008472902,0.1163668,0.0004279659,0.0003087533,0.0001906917,0.000307809,0.00007537971,0.01345521],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01403222,"threshold_uncertainty_score":0.02790105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04044053399196942,"score_gpt":0.3011341585703157,"score_spread":0.2606936245783463,"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."}}