{"id":"W7125975925","doi":"10.1109/smc58881.2025.11343646","title":"Optimizing Latent Factor Models for Recommender Systems","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 Victoria","funders":"","keywords":"Recommender system; Robustness (evolution); Scalability; Gaussian; Noise (video); Collaborative filtering; Product (mathematics); Noisy data","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":[0.004432261,0.001544519,0.002011894,0.0008548541,0.0009075661,0.001602141,0.001958675,0.001885074,0.002239712],"category_scores_gemma":[0.02005155,0.001025257,0.001302506,0.001746248,0.0009281359,0.002848873,0.00149837,0.002776464,0.001884381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425336,"about_ca_system_score_gemma":0.001974232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01913542,"about_ca_topic_score_gemma":0.02582191,"domain_scores_codex":[0.9961946,0.002140661,0.0001463972,0.0006813754,0.0006291461,0.0002077729],"domain_scores_gemma":[0.9911919,0.005922084,0.0004202832,0.001058655,0.001240151,0.0001668714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001345484,0.00008962776,0.0009360863,0.0001772539,0.0001989883,0.00004837486,0.0001144124,0.8752292,0.001344877,0.02183262,0.006516512,0.09337749],"study_design_scores_gemma":[0.00001083356,0.00001397429,0.0000527413,0.000006090198,0.000008029653,0.000005797641,0.000004277938,0.9900745,0.0001695937,0.00915838,0.000488671,0.000007176761],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004162663,0.0005360522,0.99382,0.0002246585,0.00004542685,0.00002751683,0.0001121006,0.0005491636,0.0005224068],"genre_scores_gemma":[0.3217806,0.001171596,0.6704175,0.0003866638,0.0002773705,0.0003524294,0.00117209,0.0003144949,0.004127294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01913542,"threshold_uncertainty_score":0.03804809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08577553647110923,"score_gpt":0.3035614727719326,"score_spread":0.2177859363008234,"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."}}