{"id":"W3177302636","doi":"10.2139/ssrn.3740164","title":"How Does Competition Affect Exploration vs. Exploitation? A Tale of Two Recommendation Algorithms","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Monopoly; Duopoly; Competition (biology); Personalization; Dilemma; Quality (philosophy); Recommender system; Computer science; Microeconomics; Industrial organization; Economics; Business; Marketing; Machine learning; Cournot competition","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":[0.0008248742,0.0001377553,0.000177742,0.0001696167,0.0001910493,0.0002895624,0.0001346216,0.00004549502,0.0001342926],"category_scores_gemma":[0.00009935044,0.0001166507,0.00009664617,0.0003672009,0.00002257051,0.002575205,0.00004159921,0.0006672597,0.0000185289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001062045,"about_ca_system_score_gemma":0.0001248338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000757983,"about_ca_topic_score_gemma":0.000388265,"domain_scores_codex":[0.9987338,0.0000436292,0.0002565746,0.0001742066,0.0002138954,0.0005778875],"domain_scores_gemma":[0.9993063,0.00003897626,0.0003767384,0.00007255667,0.000188658,0.00001675018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005175563,0.0002557221,0.04154838,0.0002660987,0.0002421815,0.000006619632,0.0009912007,0.0001251847,0.01720484,0.1515489,0.0006404239,0.7866529],"study_design_scores_gemma":[0.02280745,0.001656504,0.02714006,0.0006671045,0.002355796,0.0001969229,0.08755154,0.07954343,0.008155033,0.6686138,0.0974641,0.003848263],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6654713,0.0002945131,0.2854769,0.04532862,0.0008373944,0.0005569409,0.000005927201,0.0001796803,0.001848725],"genre_scores_gemma":[0.9980223,0.0002813553,0.0001897181,0.000411135,0.000906905,0.00001183698,0.00007214361,0.00002186221,0.00008272646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7828046,"threshold_uncertainty_score":0.4756877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372591956790277,"score_gpt":0.2566281224753955,"score_spread":0.2329022029074927,"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."}}