{"id":"W4378907161","doi":"10.3390/cmsf2023006004","title":"A Software Factory for Accelerating the Development of Recommender Systems in Smart Tourism Mobile Applications: An Overview","year":2023,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"Centre National pour la Recherche Scientifique et Technique","keywords":"RSS; Computer science; Factory (object-oriented programming); Recommender system; Tourism; Domain (mathematical analysis); Software engineering; Software; Software development; World Wide Web; Operating system","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":[0.005744211,0.00109293,0.0008936036,0.001727166,0.0007455631,0.003556561,0.002687864,0.002379498,0.003063523],"category_scores_gemma":[0.008475845,0.001785004,0.002722559,0.001549886,0.001184639,0.005035062,0.001764299,0.003472914,0.002711157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037694,"about_ca_system_score_gemma":0.002770407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003845341,"about_ca_topic_score_gemma":0.00261454,"domain_scores_codex":[0.9971249,0.0007876024,0.0004760022,0.0004968692,0.0009030631,0.0002115988],"domain_scores_gemma":[0.9953349,0.001770276,0.0003373178,0.001479461,0.0008240813,0.0002539399],"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":[0.0002772573,0.0007916624,0.009565204,0.002654457,0.0004208457,0.001307077,0.002740197,0.06956448,0.04796438,0.2001693,0.01402215,0.6505229],"study_design_scores_gemma":[0.0001434965,0.0007422758,0.002918071,0.001442726,0.000392684,0.00255649,0.0004383289,0.4217779,0.06897156,0.04661432,0.4536927,0.000309334],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003611514,0.0009515503,0.9875164,0.0003863094,0.00004908105,0.0001678733,0.00005616184,0.005371827,0.001889406],"genre_scores_gemma":[0.02908904,0.002343055,0.963757,0.0001800981,0.0000343985,0.0002296046,0.0004288258,0.0008900293,0.003047991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005744211,"threshold_uncertainty_score":0.03037864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1607484725269376,"score_gpt":0.3528316119333854,"score_spread":0.1920831394064478,"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."}}