{"id":"W4395451565","doi":"10.18280/isi.290216","title":"Hybrid Recommender System for Personalized Pedagogical Resource Recommendations in E-Learning Platforms","year":2024,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recommender system; Computer science; Resource (disambiguation); World Wide Web; Multimedia; Human–computer interaction; Computer network","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001617057,0.0002412719,0.0003142873,0.0006097758,0.0003443644,0.00111253,0.0005011929,0.0001269781,0.00001772854],"category_scores_gemma":[0.0001227799,0.0002110426,0.0001591174,0.0005047092,0.00004110645,0.004413411,0.0001517211,0.0003206717,0.00005375036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006997033,"about_ca_system_score_gemma":0.0001028482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005384508,"about_ca_topic_score_gemma":0.000005947815,"domain_scores_codex":[0.9979991,0.00009498955,0.0009236204,0.0002984146,0.0002531272,0.0004307787],"domain_scores_gemma":[0.9989573,0.0003201496,0.0002115426,0.000305418,0.0001238544,0.00008171308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003557727,0.0000325219,0.0002363155,0.00200158,0.00007038998,0.00001360027,0.02347596,0.0001796455,0.00004078849,0.5163966,0.02361609,0.433901],"study_design_scores_gemma":[0.0005788033,0.0001795316,0.00006116161,0.001349256,0.00001057598,0.0002782095,0.005853155,0.205135,0.0006239784,0.009411339,0.7760862,0.0004328264],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004349763,0.000326548,0.9761571,0.0008231621,0.0007588715,0.0008272831,0.0000227479,0.001574344,0.0151602],"genre_scores_gemma":[0.9665216,0.00004917715,0.03142647,0.0002265738,0.0001290787,0.0007030851,0.0002336739,0.00002647389,0.0006838178],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9621719,"threshold_uncertainty_score":0.9999244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04972689750176638,"score_gpt":0.2977392388575792,"score_spread":0.2480123413558128,"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."}}