{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00453849,0.0007877125,0.001479123,0.002095521,0.0008133178,0.001679871,0.001905957,0.002022563,0.002387318],"category_scores_gemma":[0.006964386,0.0006183096,0.001749841,0.002028676,0.0002787779,0.001970546,0.0007993185,0.001388669,0.001810724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008544083,"about_ca_system_score_gemma":0.001522912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01315071,"about_ca_topic_score_gemma":0.01798196,"domain_scores_codex":[0.9967828,0.0009054196,0.0003363657,0.0007208512,0.001104688,0.0001497884],"domain_scores_gemma":[0.9954028,0.001734218,0.00016982,0.0005741935,0.002015073,0.0001038815],"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":[0.0002421229,0.0007920625,0.008775769,0.0004206079,0.0006475812,0.0002055399,0.0003471044,0.06169316,0.01762639,0.009013828,0.005868759,0.894367],"study_design_scores_gemma":[0.00007479666,0.0003687686,0.003029207,0.00006117798,0.0001644239,0.00026696,0.00007655186,0.9674462,0.01186596,0.003066255,0.01351135,0.00006840177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01842405,0.0005317485,0.9757868,0.0003981473,0.0001546159,0.0004065976,0.0001779499,0.002138335,0.001981783],"genre_scores_gemma":[0.08492444,0.0003185043,0.9103125,0.0002281378,0.00007157058,0.0003421611,0.000367322,0.00005870701,0.003376714],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01315071,"threshold_uncertainty_score":0.02614838,"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."}}