{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003690217,0.001347353,0.00308945,0.004895226,0.001333111,0.003290447,0.002680273,0.002490841,0.009432751],"category_scores_gemma":[0.01699452,0.001513525,0.001387962,0.009799637,0.0008902716,0.004723003,0.001732932,0.003762464,0.01002741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007733385,"about_ca_system_score_gemma":0.00102796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004105363,"about_ca_topic_score_gemma":0.00798611,"domain_scores_codex":[0.9961832,0.001077731,0.0001827314,0.0006570458,0.001776867,0.0001222434],"domain_scores_gemma":[0.9932919,0.003638188,0.0002701412,0.001683706,0.000971502,0.0001446284],"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":[0.0001845771,0.000335197,0.001866791,0.0009272976,0.0004199259,0.00009202757,0.0003316898,0.01200046,0.009062423,0.04902643,0.05764837,0.8681048],"study_design_scores_gemma":[0.0002549755,0.0003559807,0.004371844,0.0003651218,0.0006751661,0.001098246,0.0002080617,0.6181854,0.01952985,0.1839919,0.1707182,0.0002451959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005667053,0.009047227,0.9726864,0.001320439,0.0005052199,0.0002757838,0.001134682,0.003479011,0.005884239],"genre_scores_gemma":[0.08944425,0.009502387,0.8776835,0.0005628911,0.001482201,0.0003542962,0.002058558,0.0004905512,0.01842139],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009432751,"threshold_uncertainty_score":0.03155571,"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."}}