{"id":"W4406459249","doi":"10.1109/bigdata62323.2024.10825765","title":"An Agentic AI-based Multi-Agent Framework for Recommender Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Recommender system; Computer science; Artificial intelligence; Machine 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":[0.00282896,0.0009630852,0.0008643648,0.001741939,0.00151008,0.003337416,0.002955977,0.002332532,0.002844051],"category_scores_gemma":[0.003535354,0.0005242812,0.001193632,0.00166687,0.002434251,0.002810573,0.002485047,0.003172193,0.001442614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001867486,"about_ca_system_score_gemma":0.002210095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006160683,"about_ca_topic_score_gemma":0.007192,"domain_scores_codex":[0.9973868,0.001463423,0.0001846406,0.000333694,0.0005385191,0.00009296346],"domain_scores_gemma":[0.9982098,0.0008323774,0.0001917512,0.0002189907,0.0003695689,0.0001775352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001796717,0.00004688369,0.0003517712,0.0002508461,0.00007172455,0.00019084,0.0005417695,0.03886376,0.001093801,0.930617,0.002702187,0.02525138],"study_design_scores_gemma":[0.00004176597,0.0001075696,0.0002814189,0.0002158182,0.0000690025,0.0002920445,0.0002709454,0.4560531,0.0008970642,0.4444674,0.09724355,0.00006033395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001077659,0.001622029,0.9843825,0.00136977,0.0001172946,0.0001495194,0.00005867564,0.0001567387,0.01106592],"genre_scores_gemma":[0.1301839,0.002666281,0.8570763,0.000504585,0.000335108,0.0006982182,0.0001899618,0.00005046762,0.008295201],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006160683,"threshold_uncertainty_score":0.01496112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07225466025580894,"score_gpt":0.3621014527568706,"score_spread":0.2898467925010617,"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."}}