{"id":"W4386072366","doi":"10.1109/mdm58254.2023.00017","title":"Utilization of Spatio-Temporal and Social Information for POI Group Recommendation","year":2023,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Computer science; Group (periodic table); World Wide Web; Information retrieval; Data science","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":[0.0004409874,0.0007402411,0.0007211348,0.002228984,0.0004108351,0.0005195772,0.001003619,0.000628035,0.001394457],"category_scores_gemma":[0.001953278,0.0002576107,0.0006629687,0.002709993,0.0002086661,0.001477011,0.0005723286,0.0008008002,0.0009471619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004766617,"about_ca_system_score_gemma":0.0005469603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0177911,"about_ca_topic_score_gemma":0.04698602,"domain_scores_codex":[0.9994934,0.00008184704,0.00003068881,0.0001976775,0.0001528925,0.00004353793],"domain_scores_gemma":[0.9994119,0.0001628115,0.00006847782,0.0001356766,0.0001769517,0.00004410694],"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":[0.0004126979,0.000535266,0.03895918,0.0004190067,0.000418745,0.000272926,0.0004086873,0.0642776,0.01255705,0.003299949,0.01178741,0.8666515],"study_design_scores_gemma":[0.00003247672,0.0002005929,0.01904326,0.00005127733,0.0002027087,0.0003657114,0.0001926285,0.962957,0.004037672,0.003882632,0.008979974,0.0000540745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2281253,0.004314797,0.747344,0.0008263146,0.000330718,0.0003245029,0.002987889,0.002504365,0.01324192],"genre_scores_gemma":[0.8551863,0.001431533,0.1328641,0.0001763964,0.0001671101,0.000125681,0.003325837,0.00005769182,0.006665318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0177911,"threshold_uncertainty_score":0.03537506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05990019105243582,"score_gpt":0.301101366320659,"score_spread":0.2412011752682232,"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."}}