{"id":"W4311069763","doi":"10.1371/journal.pone.0278364","title":"Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Sherbrooke; Mila - Quebec Artificial Intelligence Institute; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Recommender system; Computer science; Machine learning; Cluster analysis; Artificial intelligence; Random forest; Algorithm; Product (mathematics); Recurrent neural network; Set (abstract data type); Data mining; Artificial neural network","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006088643,0.0001196783,0.0002064415,0.000147749,0.0004947393,0.000159181,0.0002738998,0.00002445558,0.0001261157],"category_scores_gemma":[0.00001883862,0.0001307586,0.00003648196,0.000217878,0.00001251562,0.000290499,0.0007689723,0.0002709115,0.000001382895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401893,"about_ca_system_score_gemma":0.00001856286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000169774,"about_ca_topic_score_gemma":0.000006496442,"domain_scores_codex":[0.9987431,0.0002327812,0.0002407641,0.0003256417,0.0002552641,0.0002024636],"domain_scores_gemma":[0.9995702,0.00005876706,0.00009984171,0.0001741157,0.0000360452,0.00006106657],"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":[0.00008128156,0.00234117,0.02655256,0.0008181851,0.0009690644,0.00006605798,0.0245907,0.001037955,0.1288906,0.005059442,0.0002099312,0.809383],"study_design_scores_gemma":[0.0002205296,0.000114281,0.0000371116,0.00005998211,0.00001390271,0.00002799269,0.0002571983,0.9940222,0.002802916,0.0001008878,0.002170738,0.0001722602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08773779,0.0003621449,0.9094813,0.001198027,0.0001244104,0.0003219673,0.000004667933,0.0003666011,0.0004030739],"genre_scores_gemma":[0.7301588,0.0001431485,0.2688787,0.0003302285,0.00007858108,0.00008347215,0.00002542771,0.00002710592,0.0002745501],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9929842,"threshold_uncertainty_score":0.5332183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1195836760964014,"score_gpt":0.2723123222287879,"score_spread":0.1527286461323865,"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."}}