{"id":"W4285043581","doi":"10.22215/etd/2022-15097","title":"A Group Recommendation Method for POIs in LBSN","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Recommender system; Profiling (computer programming); Computer science; Information retrieval; Point of interest; World Wide Web; Data science; Data mining; Artificial intelligence","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":[0.001262441,0.001159114,0.001230524,0.004135099,0.001533961,0.001728222,0.001819866,0.001435771,0.006600406],"category_scores_gemma":[0.005047767,0.0004398239,0.001416682,0.004839929,0.0004349233,0.002239087,0.001095962,0.001148351,0.005015553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008308804,"about_ca_system_score_gemma":0.001184164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02103055,"about_ca_topic_score_gemma":0.03221172,"domain_scores_codex":[0.9981026,0.0002747326,0.0001548922,0.0004834215,0.0008651777,0.0001192808],"domain_scores_gemma":[0.9985048,0.000311915,0.00008492402,0.0003238356,0.0006916634,0.00008292313],"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":[0.0004593559,0.0003023463,0.006125381,0.0004274103,0.0002496429,0.0003077513,0.0008851166,0.02571901,0.01110629,0.01239677,0.03238726,0.9096336],"study_design_scores_gemma":[0.0001445816,0.0002780365,0.005118876,0.0001280404,0.0002503433,0.0008766285,0.0007691898,0.9110998,0.01215612,0.01494288,0.05408904,0.0001464277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01424328,0.0007435365,0.9705507,0.0004238182,0.0003197871,0.000576278,0.001189821,0.004055005,0.007897901],"genre_scores_gemma":[0.1479369,0.000644735,0.829796,0.0001807959,0.0002101666,0.000480778,0.00223173,0.0002249387,0.01829392],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02103055,"threshold_uncertainty_score":0.04181629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02437742499596363,"score_gpt":0.3575487852155945,"score_spread":0.3331713602196308,"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."}}