{"id":"W4410901013","doi":"10.1145/3742421","title":"Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives","year":2025,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; York University; Royal Bank of Canada; Vector Institute","funders":"","keywords":"Computer science; Recommender system; Data science; 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":[0.006174017,0.001030517,0.002567953,0.004751185,0.0008942756,0.003173928,0.002091281,0.00215929,0.004462822],"category_scores_gemma":[0.01262252,0.0008461137,0.001217609,0.009212047,0.000860132,0.005343018,0.001204777,0.002366913,0.003767348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518015,"about_ca_system_score_gemma":0.003185927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005893893,"about_ca_topic_score_gemma":0.007457625,"domain_scores_codex":[0.9970517,0.001031938,0.0003026412,0.0003999475,0.001089642,0.0001240231],"domain_scores_gemma":[0.9835189,0.01045671,0.0005322803,0.0005271156,0.004643966,0.0003210286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006603394,0.000101502,0.001482778,0.015688,0.0002372019,0.000104164,0.0003027748,0.001316877,0.0006185276,0.01819611,0.04017471,0.9217113],"study_design_scores_gemma":[0.00003451834,0.0002775576,0.002989836,0.007806493,0.0004165837,0.001164734,0.0005766124,0.003996796,0.0005373173,0.01741502,0.9646497,0.000134923],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005294358,0.9870194,0.006923988,0.002361733,0.0005131385,0.00003702191,0.00006696516,0.00006528068,0.002482989],"genre_scores_gemma":[0.004575403,0.984937,0.007431553,0.0006751523,0.00114947,0.00003718869,0.0001282166,0.00001432075,0.001051739],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006174017,"threshold_uncertainty_score":0.03265166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2073355772120554,"score_gpt":0.352680536825045,"score_spread":0.1453449596129896,"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."}}