{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004021986,0.000178934,0.0002101842,0.0002417077,0.0002799576,0.0002512444,0.0004053237,0.00007551118,0.00003492999],"category_scores_gemma":[0.00005059797,0.0001717438,0.00007223078,0.0004690025,0.00005900846,0.0002246837,0.0001669656,0.0002287213,0.00001250102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001307925,"about_ca_system_score_gemma":0.0001257474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001297065,"about_ca_topic_score_gemma":0.000008314988,"domain_scores_codex":[0.998541,0.0002030037,0.0003673267,0.0004485346,0.0002362372,0.0002039104],"domain_scores_gemma":[0.9987749,0.0005950794,0.0001471643,0.0002021739,0.0002129432,0.00006773708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001248599,0.00003987696,0.001970511,0.0001491701,0.00005815444,0.000007025219,0.001148186,0.003363594,0.000007583536,0.9145498,0.0008299407,0.07786366],"study_design_scores_gemma":[0.0002260892,0.0001186229,0.0006845099,0.0002817732,0.00001451239,0.00002740415,0.001148205,0.9195628,0.0006416583,0.06970896,0.00732788,0.0002575857],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003373815,0.0008289126,0.9942585,0.002678638,0.0002748068,0.0003263375,0.000005350651,0.0003517522,0.0009382772],"genre_scores_gemma":[0.8207889,0.00002465369,0.1780966,0.0008539606,0.00002189472,0.00007978165,0.00002098701,0.000007525554,0.0001057585],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9161992,"threshold_uncertainty_score":0.7003507,"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."}}