{"id":"W4417511055","doi":"10.2139/ssrn.5758422","title":"Movie Recommendation Systems: Advanced Techniques for Personalized Content Suggestion","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Collaborative filtering; Scalability; Recommender system; Metadata; Leverage (statistics); Deep learning; Matrix decomposition; Artificial neural network","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0126757,0.001243442,0.001836635,0.001054037,0.001207621,0.001596832,0.002771565,0.001066803,0.00001717533],"category_scores_gemma":[0.0003117991,0.00120397,0.001215905,0.0005797026,0.0001198255,0.001239707,0.0008803429,0.006392767,0.000008158057],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.009032355,"about_ca_system_score_gemma":0.009987508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006154207,"about_ca_topic_score_gemma":0.0002195976,"domain_scores_codex":[0.9883635,0.00128972,0.002835319,0.001823282,0.0007844979,0.004903695],"domain_scores_gemma":[0.9927362,0.0004920868,0.003173882,0.001213205,0.002090349,0.0002942582],"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":[0.0002277616,0.0001989631,0.00004435218,0.0005299094,0.0007015894,0.000001920944,0.0003048893,0.00004477948,0.0003278029,0.5437007,0.001005776,0.4529116],"study_design_scores_gemma":[0.004831373,0.004388626,0.00004552762,0.007957456,0.0006409041,0.001928472,0.00516229,0.03758266,0.002718453,0.4629686,0.4686813,0.003094336],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002530101,0.01419893,0.9645579,0.006380171,0.00594,0.005577674,0.0001170523,0.000643822,0.002331402],"genre_scores_gemma":[0.5439891,0.2537888,0.09861782,0.001064502,0.004890192,0.008967274,0.0007079241,0.0003617024,0.08761274],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8659401,"threshold_uncertainty_score":0.9994396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03786581807763339,"score_gpt":0.3036497321771175,"score_spread":0.2657839140994842,"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."}}