{"id":"W4413997704","doi":"10.18280/jesa.580706","title":"Development a Hybrid Recommender System Based-Classification Techniques in Data Mining Algorithms and Collaborative Filtering","year":2025,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Customer churn and segmentation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collaborative filtering; Recommender system; Computer science; Data mining; Information retrieval; Algorithm; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001122311,0.000196892,0.0002665528,0.0007343003,0.0003753305,0.0008853652,0.0003166932,0.00004292326,0.00002257641],"category_scores_gemma":[0.0001201463,0.0001834494,0.00002227863,0.0007001732,0.00003973321,0.001504556,0.0002528589,0.0001659632,0.00001416741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000331017,"about_ca_system_score_gemma":0.0001293045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003657841,"about_ca_topic_score_gemma":0.00007290042,"domain_scores_codex":[0.9984624,0.00007121106,0.0006711424,0.0003123112,0.0002437621,0.0002391687],"domain_scores_gemma":[0.9990404,0.00007247976,0.000432688,0.0002424096,0.0001917609,0.00002027598],"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":[0.00003337946,0.00007053597,0.0081317,0.001024388,0.00006500972,0.00008554645,0.0003688383,0.00002047181,0.001667842,0.0006408544,0.005901424,0.98199],"study_design_scores_gemma":[0.00163213,0.00002012186,0.3734874,0.005125958,0.0001207826,0.0001476247,0.008872394,0.5516877,0.001308536,0.0002489006,0.05669025,0.0006581236],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7725413,0.001695725,0.1837199,0.00284977,0.001710886,0.001782245,0.00003901457,0.001199458,0.03446161],"genre_scores_gemma":[0.899106,0.00005092494,0.09962612,0.0005673792,0.000255747,0.00004753349,0.00009545368,0.00003621948,0.0002145956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9813319,"threshold_uncertainty_score":0.8537598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0492555236621463,"score_gpt":0.2865763940970176,"score_spread":0.2373208704348713,"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."}}