{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009956768,0.0002490419,0.0003480922,0.00008549805,0.00004866827,0.0005864724,0.001333019,0.0001294332,0.00002767787],"category_scores_gemma":[0.00002218144,0.0002139412,0.000104396,0.0001971614,0.00001423189,0.0003432505,0.003812368,0.0005355263,0.00002994375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007267115,"about_ca_system_score_gemma":0.00009766949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001333337,"about_ca_topic_score_gemma":0.00001393506,"domain_scores_codex":[0.9985924,0.0001163836,0.0002872698,0.0006510427,0.0001736337,0.0001793011],"domain_scores_gemma":[0.998866,0.00006560462,0.0002021191,0.0006357111,0.0001347511,0.00009584337],"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":[0.00005513719,0.0002617085,0.0004807261,0.0008760571,0.0009316989,0.0006427747,0.03682187,0.0003384397,0.006357497,0.3117338,0.3620591,0.2794412],"study_design_scores_gemma":[0.0006059947,0.0006421827,0.001042717,0.0007741055,0.00003097453,0.00008179422,0.0008925545,0.6697251,0.1001669,0.1025959,0.1207221,0.002719664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003990058,0.00008255622,0.9435055,0.006513454,0.001599249,0.0004555232,0.00001153694,0.001017574,0.04641559],"genre_scores_gemma":[0.832311,0.0000184345,0.1661619,0.0008801282,0.0001820784,0.0001363109,0.000008081417,0.00001584136,0.0002861435],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.831912,"threshold_uncertainty_score":0.872427,"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."}}