{"id":"W3091442083","doi":"10.18280/isi.250413","title":"A Novel Tourist Attraction Recommendation System Based on Improved Visual Bayesian Personalized Ranking","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ranking (information retrieval); Attraction; Bayesian probability; Computer science; Tourism; Tourist attraction; Recommender system; Artificial intelligence; Information retrieval; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004833445,0.0008916708,0.001390006,0.00146721,0.0005715534,0.0008135604,0.001582273,0.0008505029,0.003724479],"category_scores_gemma":[0.001195935,0.0005056117,0.0008511215,0.001755887,0.0001429182,0.001304325,0.000677569,0.0007188048,0.003314286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005318566,"about_ca_system_score_gemma":0.0009908638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03561306,"about_ca_topic_score_gemma":0.05166966,"domain_scores_codex":[0.9993169,0.00007017914,0.00004294914,0.0001948331,0.0002907616,0.00008429178],"domain_scores_gemma":[0.999552,0.00005850441,0.00003329623,0.00007677574,0.000230128,0.00004943527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006194493,0.000529308,0.008960766,0.0003322724,0.0002929222,0.0004103817,0.0001375751,0.04476638,0.03292688,0.0022808,0.02987093,0.8788725],"study_design_scores_gemma":[0.0001100405,0.0002125259,0.005383587,0.00001462478,0.0001336274,0.0004650465,0.00005597905,0.9784145,0.006744051,0.001251403,0.007116772,0.00009797551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07224132,0.001245745,0.8970039,0.000436084,0.0002007949,0.0004279831,0.002142045,0.01894187,0.007360328],"genre_scores_gemma":[0.5148287,0.000899571,0.4577722,0.0004637834,0.0001939274,0.0003469191,0.005285084,0.0003554232,0.01985437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03561306,"threshold_uncertainty_score":0.07081151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02218367006231552,"score_gpt":0.2368782147885249,"score_spread":0.2146945447262094,"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."}}