{"id":"W3027512471","doi":"10.5220/0009337807150726","title":"A Literature Review of Recommender Systems for the Cultural Sector","year":2020,"lang":"en","type":"review","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Recommender system; Computer science; Information retrieval; Data science; World Wide Web; Knowledge management","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":[0.002399794,0.000872656,0.001678769,0.00620701,0.0006180374,0.001844401,0.001112768,0.001772703,0.006213238],"category_scores_gemma":[0.006670919,0.0004337979,0.001169108,0.01088468,0.000473678,0.002544844,0.0008636634,0.001382323,0.001892546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141259,"about_ca_system_score_gemma":0.003730579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006374392,"about_ca_topic_score_gemma":0.01206673,"domain_scores_codex":[0.9991535,0.0002531816,0.0001265172,0.0001516894,0.000264933,0.00005027356],"domain_scores_gemma":[0.9925234,0.005587151,0.0003667344,0.0001280762,0.001210885,0.000183713],"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":[0.0000786555,0.00007516806,0.0005086632,0.05932946,0.0002291562,0.00009554438,0.0001435398,0.0005030235,0.0005194435,0.004605257,0.03508776,0.8988243],"study_design_scores_gemma":[0.00004115584,0.0002843154,0.004831691,0.05816785,0.001340463,0.0008977496,0.0003731173,0.0008273703,0.0005565718,0.004864864,0.9277303,0.00008454276],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002010866,0.9975968,0.0004796814,0.0004504766,0.0002014739,0.00001204221,0.00005617697,0.00001062549,0.0009917014],"genre_scores_gemma":[0.00135812,0.9965526,0.001085223,0.0003069931,0.0002216805,0.00001267392,0.00007427044,0.000002818379,0.0003855782],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006374392,"threshold_uncertainty_score":0.02078539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143298349143301,"score_gpt":0.3593242427577585,"score_spread":0.2449944078434284,"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."}}