{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000843586,0.001174901,0.001478418,0.0003997219,0.0007470882,0.001505083,0.001726313,0.0005024937,0.0001724851],"category_scores_gemma":[0.00009940766,0.001243718,0.000309017,0.002223072,0.00004365838,0.001040534,0.0004796035,0.0009326896,0.0004134526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007436331,"about_ca_system_score_gemma":0.0005256145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000960706,"about_ca_topic_score_gemma":0.0003218316,"domain_scores_codex":[0.9937707,0.0007330906,0.001511947,0.002377229,0.000687168,0.0009198317],"domain_scores_gemma":[0.995002,0.0001628623,0.001934951,0.001402313,0.001068171,0.000429662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005880172,0.0005243899,0.0002596847,0.01541631,0.001668397,0.0002079366,0.3228609,0.0001322205,0.05022256,0.04820151,0.08234604,0.477572],"study_design_scores_gemma":[0.002170268,0.002082523,0.001085431,0.00645696,0.0004325289,0.0002916539,0.1190824,0.1537831,0.2346,0.0003245115,0.4737728,0.005917786],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005804698,0.002606299,0.8463903,0.01795236,0.01325618,0.007798022,0.00006597668,0.002960804,0.1031653],"genre_scores_gemma":[0.9306062,0.0007874642,0.05864124,0.0003381815,0.001705479,0.001110271,0.001214429,0.0002760262,0.005320753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9248015,"threshold_uncertainty_score":0.9995314,"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."}}