{"id":"W2942423334","doi":"","title":"Unsupervised Deep Learning Recommender System for Personal Computer Users","year":2017,"lang":"en","type":"article","venue":"International Conference on Intelligent Systems","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Recommender system; Computer science; Deep learning; Unsupervised learning; Artificial intelligence; World Wide Web; 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":[0.001004171,0.000608157,0.0009374008,0.00132441,0.0005672603,0.0006139015,0.001181495,0.001162115,0.002006241],"category_scores_gemma":[0.002429616,0.0003058973,0.0006266772,0.0007610792,0.0001524228,0.001036901,0.0005888921,0.001000611,0.001469954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000665708,"about_ca_system_score_gemma":0.0009711911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01940242,"about_ca_topic_score_gemma":0.05762638,"domain_scores_codex":[0.9994073,0.0001434523,0.00003966437,0.0001777893,0.0001469573,0.00008492923],"domain_scores_gemma":[0.9986197,0.0004222568,0.00008206183,0.0002041233,0.0005798193,0.00009200144],"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":[0.001353484,0.00228252,0.06686556,0.0003003771,0.0007573419,0.0003606289,0.0002163154,0.06300672,0.01878456,0.002860401,0.04240741,0.8008046],"study_design_scores_gemma":[0.0000287038,0.0001504758,0.005990072,0.00001569647,0.0001190364,0.0001020038,0.00003675985,0.9882601,0.002557323,0.001055205,0.00166093,0.00002369525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4560322,0.004034233,0.5198696,0.002142264,0.0006335137,0.0002928583,0.004488502,0.005262755,0.007244101],"genre_scores_gemma":[0.9062518,0.0006191278,0.07781033,0.000274939,0.0001937503,0.00008626106,0.002914595,0.00005907511,0.01179023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01940242,"threshold_uncertainty_score":0.03857899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1035879758199548,"score_gpt":0.3226185428700852,"score_spread":0.2190305670501304,"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."}}