{"id":"W4413279107","doi":"10.1287/msom.2023.0271","title":"Privacy-Preserving Personalized Recommender Systems","year":2025,"lang":"en","type":"article","venue":"Manufacturing & Service Operations Management","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Toronto","funders":"","keywords":"Recommender system; Computer science; Internet privacy; Business; Computer security; World Wide Web","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":[0.005264594,0.001086558,0.002843224,0.0007242975,0.001206938,0.00285973,0.003594255,0.003492479,0.003957286],"category_scores_gemma":[0.02397838,0.0009818035,0.001331302,0.00214438,0.001697212,0.005666342,0.002558654,0.002814976,0.001183073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014762,"about_ca_system_score_gemma":0.002219154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003741529,"about_ca_topic_score_gemma":0.0020506,"domain_scores_codex":[0.9934058,0.002587021,0.0004392995,0.001789795,0.001180883,0.0005970965],"domain_scores_gemma":[0.9789438,0.01409637,0.001446417,0.003773379,0.00128479,0.0004552841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005367834,0.0003442871,0.005773944,0.0008470289,0.0003244419,0.0005113606,0.0006360278,0.6107485,0.004193219,0.2009297,0.01328169,0.161873],"study_design_scores_gemma":[0.00007525719,0.0001191525,0.0006661177,0.00004524417,0.00006739144,0.0003144285,0.00008373326,0.8992389,0.00111164,0.09389344,0.004343728,0.00004091612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03339252,0.0009308614,0.9566482,0.002614476,0.00009877046,0.000226717,0.0006989385,0.0004043842,0.004985152],"genre_scores_gemma":[0.8325886,0.001772451,0.1554908,0.000672698,0.0003850551,0.0003840779,0.0007396354,0.0000823709,0.00788433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005264594,"threshold_uncertainty_score":0.02784216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02192412161535117,"score_gpt":0.2519901810373565,"score_spread":0.2300660594220053,"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."}}