{"id":"W2945833921","doi":"10.1109/infoct.2019.8711416","title":"Towards Persuasive Recommender Systems","year":2019,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Recommender system; Computer science; Persuasive technology; World Wide Web; Persuasion; 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":[0.007929179,0.001659319,0.001489515,0.002119431,0.001045245,0.004460145,0.003099544,0.004787218,0.00561611],"category_scores_gemma":[0.0227974,0.001526659,0.002007242,0.001580233,0.002320981,0.00578593,0.003366955,0.005579349,0.004753014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104364,"about_ca_system_score_gemma":0.001042073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001749632,"about_ca_topic_score_gemma":0.001672155,"domain_scores_codex":[0.992757,0.003644329,0.000392434,0.00111988,0.001909034,0.0001773117],"domain_scores_gemma":[0.9884674,0.007344901,0.0004299047,0.001388795,0.002117649,0.0002514457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001589377,0.0003840938,0.00245618,0.002881008,0.0005981964,0.0004675627,0.00246957,0.06982459,0.007888978,0.596291,0.01488819,0.3016917],"study_design_scores_gemma":[0.0001619777,0.0003780854,0.0006946304,0.0006221519,0.0002607476,0.000652152,0.0003645423,0.2674034,0.004366991,0.5630085,0.1619395,0.0001473686],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003478185,0.005510352,0.9754008,0.0024342,0.000428153,0.0002473019,0.00008044466,0.0005084785,0.01191209],"genre_scores_gemma":[0.1511041,0.01230408,0.8157642,0.002440866,0.001113754,0.00106079,0.0004620045,0.0001603129,0.01558988],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007929179,"threshold_uncertainty_score":0.04193401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814918638549321,"score_gpt":0.2465695808829148,"score_spread":0.2284203944974216,"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."}}