{"id":"W7116904748","doi":"10.1111/coin.70161","title":"Personalized Persuasive Recommender System: A Framework and a Machine Learning‐Based Implementation","year":2025,"lang":"en","type":"article","venue":"Computational Intelligence","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Ontario Tech University; University of Ottawa","funders":"","keywords":"Recommender system; Persuasion; Focus (optics); Big Five personality traits; Architecture","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":[0.00156664,0.0004239563,0.0006609922,0.0007575831,0.0006251393,0.001691324,0.00233185,0.002069027,0.00448268],"category_scores_gemma":[0.003333211,0.0004092027,0.000657024,0.0005327295,0.0007874611,0.001703046,0.001143464,0.001427316,0.001319929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007200786,"about_ca_system_score_gemma":0.0009761173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008825788,"about_ca_topic_score_gemma":0.005749216,"domain_scores_codex":[0.998964,0.0003699769,0.00008299031,0.0002160519,0.0002967186,0.00007022605],"domain_scores_gemma":[0.999166,0.0002579289,0.00004487601,0.0001879556,0.000275963,0.0000672757],"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":[0.0005474471,0.0008535119,0.004106774,0.0005109478,0.0003012469,0.0007836912,0.001273394,0.2541151,0.02987367,0.1714735,0.008068995,0.5280917],"study_design_scores_gemma":[0.00006683413,0.0001612852,0.0003828179,0.00002959844,0.00004507764,0.000144136,0.00004094834,0.974992,0.0048476,0.008651981,0.01060419,0.00003362057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01562618,0.0003103228,0.9745576,0.000509619,0.00006715259,0.0002817062,0.00004645415,0.004543924,0.004056989],"genre_scores_gemma":[0.3723106,0.0002962811,0.6199172,0.0001771586,0.00006447844,0.0004804303,0.0001064218,0.00009678614,0.006550699],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008825788,"threshold_uncertainty_score":0.0175488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03794803464971125,"score_gpt":0.3397815548322428,"score_spread":0.3018335201825316,"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."}}