{"id":"W4407311311","doi":"10.1111/coin.70024","title":"Personalized Recommendation Method Based on Rating Matrix and Review Text","year":2025,"lang":"en","type":"article","venue":"Computational Intelligence","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Natural language processing; Information retrieval; Artificial intelligence; Speech recognition","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":[],"consensus_categories":[],"category_scores_codex":[0.0009441583,0.00013896,0.0002083843,0.0001673919,0.0001554548,0.0001407471,0.0003464415,0.00004122338,0.00005319884],"category_scores_gemma":[0.0001388398,0.0001272366,0.00006008146,0.0004786231,0.0000274926,0.0001974456,0.0001059735,0.0001293391,0.00001741904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006217787,"about_ca_system_score_gemma":0.00009971428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001654907,"about_ca_topic_score_gemma":9.404506e-7,"domain_scores_codex":[0.9986669,0.0002505859,0.000376366,0.0003931458,0.0001804354,0.0001325181],"domain_scores_gemma":[0.9985018,0.0009431724,0.0001334241,0.000209183,0.0001674603,0.00004493372],"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":[0.000004171802,0.00003626637,0.0000681754,0.0003015169,0.00001277468,0.000001468729,0.00006551465,0.003456759,0.00000836344,0.4651681,0.006859623,0.5240172],"study_design_scores_gemma":[0.00006963059,0.00004836294,0.0001185951,0.001076359,0.000006364398,0.000008411728,0.00001309835,0.937725,0.0003005027,0.03952455,0.0209746,0.0001344984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000007923878,0.00220601,0.9817007,0.01146172,0.0001829048,0.0003165562,0.000002322666,0.0001564301,0.003965499],"genre_scores_gemma":[0.06713677,0.0004113055,0.9239416,0.007891794,0.00002710693,0.00008399252,0.00002390438,0.000007913395,0.0004755759],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9342682,"threshold_uncertainty_score":0.5188559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03820724382141988,"score_gpt":0.3921508232515611,"score_spread":0.3539435794301413,"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."}}