{"id":"W4243552710","doi":"10.1504/ijbsr.2021.111753","title":"Recommender systems: an overview, research trends, and future directions","year":2020,"lang":"en","type":"article","venue":"International Journal of Business and Systems Research","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recommender system; Globe; Computer science; Domain (mathematical analysis); Data science; Quarter (Canadian coin); Open research; Set (abstract data type); World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005092951,0.0001458498,0.0003689972,0.001200825,0.0003075809,0.001857278,0.001221456,0.0001251466,0.00001155078],"category_scores_gemma":[0.0001433162,0.0001111258,0.0000509871,0.001344691,0.00009732885,0.001350205,0.0004791947,0.0007120277,0.000003623113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117519,"about_ca_system_score_gemma":0.0001621241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009298064,"about_ca_topic_score_gemma":0.00002054032,"domain_scores_codex":[0.9955205,0.001259055,0.0006900525,0.0003723045,0.001816247,0.0003418088],"domain_scores_gemma":[0.9942226,0.0003048419,0.0002334487,0.0002747549,0.004607276,0.0003570114],"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":[0.0002084891,0.0004373411,0.004481443,0.0007138898,0.0005946207,0.0006001692,0.008194011,0.00006764143,0.001324925,0.2380836,0.1034701,0.6418238],"study_design_scores_gemma":[0.0006217489,0.0003972158,0.009624622,0.0004129073,0.000004648968,0.00122024,0.002411909,0.0155638,0.0000318268,0.0005839543,0.9689348,0.000192335],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09201923,0.2953771,0.1249373,0.4378937,0.02762888,0.002297135,0.0001373271,0.0005362909,0.0191731],"genre_scores_gemma":[0.9756621,0.01874667,0.0008526141,0.0001007528,0.004295663,0.00003515399,0.000003817483,0.00002284074,0.0002804483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8836428,"threshold_uncertainty_score":0.9991789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2808851909750112,"score_gpt":0.4465969864049281,"score_spread":0.1657117954299168,"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."}}