{"id":"W4286685444","doi":"10.5281/zenodo.6879706","title":"HYBRID RECOMMENDER SYSTEM FOR TOURISM BASED ON BIG DATA AND AI:A CONCEPTUAL FRAMEWORK","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recommender system; Computer science; Big data; Tourism; Conceptual framework; Data science; Conceptual model; Data mining; Information retrieval; Database; Sociology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001925077,0.0004923435,0.000779489,0.002412024,0.0009516186,0.003824823,0.001725255,0.001699687,0.001990238],"category_scores_gemma":[0.00215025,0.0004176793,0.001052372,0.002452335,0.001242878,0.003515527,0.001760971,0.001295555,0.0005725304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371365,"about_ca_system_score_gemma":0.001406456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009530332,"about_ca_topic_score_gemma":0.007889125,"domain_scores_codex":[0.9987981,0.0004578239,0.0001123266,0.0002448597,0.00032185,0.00006509108],"domain_scores_gemma":[0.9985538,0.0007376772,0.0001125118,0.0001290977,0.0003551691,0.0001116948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001992201,0.0004518293,0.013616,0.00216734,0.0007897204,0.001842011,0.003205565,0.08583624,0.008845356,0.7011034,0.01188193,0.1700614],"study_design_scores_gemma":[0.00006453853,0.0003212072,0.005940717,0.0005143321,0.0003536305,0.001207909,0.002060212,0.7376609,0.001912453,0.1711835,0.07859551,0.000185107],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02305857,0.01216857,0.9331095,0.006399421,0.000383085,0.0004102532,0.0005684753,0.0006061218,0.02329596],"genre_scores_gemma":[0.5152526,0.0111972,0.4574246,0.0007678574,0.0004801397,0.0007234029,0.000953928,0.00007127764,0.01312894],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009530332,"threshold_uncertainty_score":0.01894975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1098053788621532,"score_gpt":0.2643414818286444,"score_spread":0.1545361029664911,"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."}}