{"id":"W7133083641","doi":"","title":"Implicit Feedback Deep Collaborative Filtering Product Recommendation System","year":2020,"lang":"","type":"dissertation","venue":"TSpace","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre for Management of Technology and Entrepreneurship, University of Toronto","keywords":"Collaborative filtering; Recommender system; Product (mathematics); Purchasing; Latent variable; Learning to rank; Work (physics); Data modeling","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001576292,0.000817856,0.001539697,0.00113468,0.000666621,0.001225985,0.001524733,0.001435741,0.004323202],"category_scores_gemma":[0.003401466,0.0004692063,0.0009211553,0.001282672,0.0002973554,0.001923521,0.0007360613,0.001133811,0.002487876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009187952,"about_ca_system_score_gemma":0.001128097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02047041,"about_ca_topic_score_gemma":0.02809056,"domain_scores_codex":[0.9990935,0.0001502196,0.00006470162,0.000267138,0.0003217914,0.0001025981],"domain_scores_gemma":[0.9983761,0.0005436132,0.0001106062,0.0003034892,0.0006015749,0.0000645439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000849208,0.001017149,0.00586356,0.0004737318,0.0003856894,0.0003287218,0.0003017849,0.1161558,0.01782206,0.00924059,0.01940973,0.8281519],"study_design_scores_gemma":[0.00004090955,0.0001742167,0.001319046,0.00002467441,0.000103449,0.0001292543,0.00002783656,0.985684,0.0047627,0.00285837,0.00484317,0.00003231435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08838294,0.002762645,0.8871284,0.0008313204,0.0003138168,0.0003143511,0.00159245,0.006647548,0.01202663],"genre_scores_gemma":[0.7079857,0.001513007,0.2582077,0.0004592502,0.0001819856,0.000224734,0.002135212,0.0001103161,0.02918223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02047041,"threshold_uncertainty_score":0.04070252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02598363391746634,"score_gpt":0.3211809022818489,"score_spread":0.2951972683643825,"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."}}