{"id":"W3186739292","doi":"10.3390/informatics8030049","title":"Fashion Recommendation Systems, Models and Methods: A Review","year":2021,"lang":"en","type":"review","venue":"Informatics","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Recommender system; Computer science; sort; Product (mathematics); Collaborative filtering; Order (exchange); Fashion industry; Data science; Artificial intelligence; Clothing; World Wide Web; Information retrieval; Business","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":[0.001390653,0.0003001253,0.001456344,0.0001002992,0.00009842782,0.0004213602,0.0004527517,0.0001545127,0.000009517582],"category_scores_gemma":[0.0001403154,0.0002284948,0.0001941459,0.0004200022,0.00001668379,0.001205611,0.0004112237,0.00023458,0.00002324803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006230421,"about_ca_system_score_gemma":0.0001709766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002580177,"about_ca_topic_score_gemma":2.91912e-7,"domain_scores_codex":[0.997681,0.0006640135,0.001112076,0.0001877074,0.000155661,0.0001995183],"domain_scores_gemma":[0.9981354,0.0003634776,0.000721807,0.0005444658,0.0001497909,0.00008506805],"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":[2.396547e-8,0.000003755429,3.06027e-9,0.02800769,0.00004516243,6.056758e-7,0.00007667471,0.00006413626,2.853565e-9,0.002586942,0.004880809,0.9643342],"study_design_scores_gemma":[0.00002387518,0.00000843731,2.74154e-9,0.03073524,0.0001812118,0.00005350626,0.00002214195,0.1631457,5.461973e-8,0.00003739808,0.8055928,0.0001995793],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.016531e-10,0.5036154,0.4947719,0.00003348224,0.0002681432,0.0003311577,0.000004962617,0.00002590092,0.0009490472],"genre_scores_gemma":[2.344337e-8,0.732839,0.2666713,0.0002361167,0.00005493279,0.00005931921,0.00007644777,0.000009197029,0.0000536779],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9641346,"threshold_uncertainty_score":0.9317748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1043250772420445,"score_gpt":0.3872230624257308,"score_spread":0.2828979851836864,"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."}}