{"id":"W4366967952","doi":"10.1109/wi-iat55865.2022.00115","title":"A Survey of Explainable E-Commerce Recommender Systems","year":2022,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Recommender system; Information overload; Computer science; E-commerce; Field (mathematics); Loyalty; Quality (philosophy); World Wide Web; Information retrieval; Marketing; Business","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":[0.002118729,0.0001120177,0.0002649983,0.0001441675,0.0001992564,0.00007472319,0.001163914,0.00002742971,0.0001175153],"category_scores_gemma":[0.00001911334,0.0001023132,0.00005309891,0.0005867458,0.00001095158,0.0002529891,0.0008620482,0.0001438358,0.000005853318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000777366,"about_ca_system_score_gemma":0.00005665606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01038048,"about_ca_topic_score_gemma":0.0000581074,"domain_scores_codex":[0.9981124,0.0006564119,0.0003915242,0.0002908205,0.0003093106,0.0002395419],"domain_scores_gemma":[0.9987139,0.0001995293,0.0001706149,0.0007596141,0.00009988552,0.00005649063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001392497,0.0004784807,0.02619423,0.0001239575,0.0001005652,0.00001350967,0.001347888,0.0002795391,0.0002163573,0.3188339,0.6309496,0.02144802],"study_design_scores_gemma":[0.001373292,0.001370952,0.04660146,0.00005503466,0.00001092639,0.0002226852,0.00252771,0.1512316,0.002822318,0.00290114,0.7895242,0.001358723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00386484,0.0006098401,0.9241676,0.001102929,0.001434881,0.0005513617,0.0000228124,0.000537377,0.06770836],"genre_scores_gemma":[0.9920872,0.000009107669,0.004609867,0.0002516128,0.00001090524,0.0001664425,0.000007579241,0.00001055801,0.002846763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9882223,"threshold_uncertainty_score":0.9962095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05737990568654881,"score_gpt":0.2688370842935954,"score_spread":0.2114571786070466,"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."}}