{"id":"W4235730549","doi":"10.22360/springsim.2019.cns.007","title":"Scalable Machine Learning Algorithms for a Twitter Followee Recommender System","year":2019,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Recommender system; Computer science; Scalability; Machine learning; Algorithm; Artificial intelligence; Node (physics); Artificial neural network; Multilayer perceptron; Database","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":[0.002096608,0.0008010051,0.001250017,0.0006335857,0.0008402042,0.0009830863,0.001832708,0.001490186,0.003245584],"category_scores_gemma":[0.007962579,0.0004287167,0.0006311084,0.0007769498,0.0004834392,0.00149242,0.00144953,0.001516452,0.0009198919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578864,"about_ca_system_score_gemma":0.001447944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01530682,"about_ca_topic_score_gemma":0.01188406,"domain_scores_codex":[0.9991096,0.0002644146,0.00006843015,0.0002250345,0.0002026275,0.0001299178],"domain_scores_gemma":[0.9963366,0.002317383,0.0002444517,0.0002877205,0.0006757245,0.0001382221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000136185,0.00007105125,0.001208727,0.00005289344,0.00003849141,0.00005395859,0.00005778685,0.9490879,0.0008473239,0.004335114,0.001455847,0.04265479],"study_design_scores_gemma":[0.000007426879,0.000007298416,0.00006140015,0.000001107208,0.000001808056,0.000003670448,0.000004771442,0.9985687,0.0001015957,0.001161238,0.00007960834,0.000001417729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05722581,0.0005420294,0.9367981,0.0006780507,0.0000777878,0.0001860902,0.0002660374,0.001553736,0.002672326],"genre_scores_gemma":[0.6975166,0.0002350416,0.2974351,0.0001719221,0.00009575736,0.0004262609,0.0005643408,0.000108032,0.003446905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01530682,"threshold_uncertainty_score":0.03043544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03223761698653586,"score_gpt":0.266739155570881,"score_spread":0.2345015385843451,"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."}}