{"id":"W4414034763","doi":"10.1145/3705328.3748021","title":"Personalized Persuasion-Aware Explanations in Recommender Systems","year":2025,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University of Guelph","funders":"","keywords":"Persuasion; Recommender system; Computer science; Human–computer interaction; Information retrieval; World Wide Web; Artificial intelligence; Psychology; Social psychology","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":[0.002956328,0.0005919475,0.001044637,0.001174158,0.0008648727,0.001864128,0.001368515,0.002220368,0.004437574],"category_scores_gemma":[0.02812585,0.0006510755,0.0006175649,0.00110887,0.0006668377,0.004290324,0.001160506,0.002474047,0.0008238311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006124309,"about_ca_system_score_gemma":0.0008684414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00349713,"about_ca_topic_score_gemma":0.005916802,"domain_scores_codex":[0.9972249,0.001601213,0.0001220338,0.0004198087,0.00049514,0.000136862],"domain_scores_gemma":[0.9745856,0.02036134,0.0008185224,0.002162548,0.001749876,0.000322133],"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":[0.001163773,0.001616623,0.02011698,0.001278839,0.0006042558,0.0005575458,0.003443973,0.1089347,0.006920269,0.1426718,0.02044774,0.6922435],"study_design_scores_gemma":[0.0002227761,0.0004672781,0.005506372,0.0001924266,0.0003884285,0.000447483,0.000492368,0.8222754,0.005345751,0.1523911,0.01214727,0.0001234151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1517178,0.006651932,0.8250666,0.00286516,0.000440755,0.0002824741,0.0004317156,0.001683587,0.01086003],"genre_scores_gemma":[0.8912041,0.0009938311,0.102314,0.0002006261,0.0002187396,0.00008889561,0.0003340834,0.00006489418,0.004580897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004437574,"threshold_uncertainty_score":0.01563478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147754282944343,"score_gpt":0.2892966242274068,"score_spread":0.2678190813979634,"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."}}