{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007301458,0.0009665103,0.001697966,0.005369331,0.001026719,0.00426159,0.001662783,0.003523947,0.003328967],"category_scores_gemma":[0.008880198,0.000774496,0.0009858729,0.009248803,0.001659953,0.01028072,0.001609084,0.004132376,0.001985591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002154322,"about_ca_system_score_gemma":0.002753221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004564716,"about_ca_topic_score_gemma":0.004830462,"domain_scores_codex":[0.9969755,0.001040087,0.0003157895,0.0005714314,0.0009175813,0.0001795067],"domain_scores_gemma":[0.9860292,0.009549173,0.0006211075,0.0004107136,0.00281633,0.0005733961],"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":[0.0001187287,0.0002152315,0.004250413,0.009627836,0.0001587032,0.0001788472,0.0006770453,0.002385204,0.0008317862,0.04730585,0.02969443,0.9045559],"study_design_scores_gemma":[0.00004490127,0.0006121867,0.00663284,0.01172988,0.0003257961,0.001682915,0.002856049,0.01243933,0.00106365,0.08731665,0.8750458,0.0002500738],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001126012,0.9852583,0.004358979,0.006820981,0.0004775959,0.00001574744,0.00005116787,0.00006260239,0.001828642],"genre_scores_gemma":[0.009567142,0.9775876,0.009099456,0.001102857,0.001638933,0.00002859188,0.0001033198,0.00001590186,0.0008561818],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007301458,"threshold_uncertainty_score":0.03861427,"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."}}