{"id":"W7130703853","doi":"10.1109/computingcon64838.2025.11376955","title":"A Federated Learning Approach for Personalized Online Course Recommendation Using Hybrid Recommender Strategies","year":2025,"lang":"","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Mean reciprocal rank; Recommender system; Collaborative filtering; Robustness (evolution); Pace; Personalization; Learning to rank; Online learning","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":[0.002354297,0.00080996,0.001191543,0.00131049,0.0007742321,0.001501471,0.002037616,0.001217725,0.00151377],"category_scores_gemma":[0.003750855,0.0003992316,0.001167862,0.001064883,0.0003876917,0.00182396,0.001144243,0.0009697191,0.0009613127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006388287,"about_ca_system_score_gemma":0.0009993741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0103401,"about_ca_topic_score_gemma":0.0123001,"domain_scores_codex":[0.9984677,0.0004751712,0.0001222497,0.0004057256,0.0004019839,0.0001271982],"domain_scores_gemma":[0.9977953,0.0007281131,0.0001147759,0.0006382574,0.0006012272,0.0001222311],"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":[0.0007917996,0.001099707,0.008504322,0.0002438292,0.0005514904,0.0005536631,0.0005313691,0.240792,0.02399974,0.01229589,0.004415232,0.7062209],"study_design_scores_gemma":[0.00004946322,0.0002576074,0.0009091776,0.0000168993,0.00008168104,0.0002558707,0.00006840672,0.9842794,0.006522478,0.004149394,0.003361708,0.00004786898],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04077714,0.0003873475,0.9528205,0.0001536089,0.00004876844,0.0001594279,0.0001167373,0.00350638,0.002030117],"genre_scores_gemma":[0.5655276,0.0002851872,0.4287586,0.0002203738,0.00003476068,0.0002036672,0.0003263897,0.00007413753,0.004569343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0103401,"threshold_uncertainty_score":0.02055979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06998220785428631,"score_gpt":0.3493446835435408,"score_spread":0.2793624756892544,"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."}}