{"id":"W2922891144","doi":"10.1155/2019/2926749","title":"A Joint Deep Recommendation Framework for Location‐Based Social Networks","year":2019,"lang":"en","type":"article","venue":"Complexity","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Recommender system; Popularity; Deep learning; Artificial intelligence; Convolutional neural network; Machine learning; Perceptron; Social network (sociolinguistics); Social media; Artificial neural network; Data science; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005269204,0.0001275677,0.0002362213,0.00007092136,0.0001927868,0.0001364625,0.0004536434,0.0001138234,0.00005557412],"category_scores_gemma":[0.00004924679,0.0001233244,0.0001028456,0.0002942517,0.00003134201,0.0002454638,0.0001197318,0.000144883,0.00003080715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001104644,"about_ca_system_score_gemma":0.00004225481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001695637,"about_ca_topic_score_gemma":0.00001154471,"domain_scores_codex":[0.9989209,0.0001021121,0.0002883267,0.0003396131,0.0001083869,0.000240693],"domain_scores_gemma":[0.9989436,0.0001865401,0.000188238,0.0004206624,0.0002115484,0.00004935937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009606066,0.00006733093,0.0003053734,0.0001001524,0.00002592901,2.148503e-7,0.0004700365,0.0001579192,0.00002006212,0.916168,0.009887284,0.07278813],"study_design_scores_gemma":[0.0002819264,0.00008716449,0.001676739,0.00004898611,0.000002978446,0.000001820975,0.0000404094,0.6914431,0.0003002309,0.2918934,0.01402022,0.0002030252],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005990335,0.00004967841,0.9916701,0.005102041,0.0009792239,0.0005989968,0.000002312797,0.0003449305,0.0006536387],"genre_scores_gemma":[0.6547692,0.000001524734,0.3436655,0.00120497,0.0002027841,0.00009420329,0.00002752677,0.000009698301,0.0000245591],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6912852,"threshold_uncertainty_score":0.5029023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1030737706845544,"score_gpt":0.316591711333471,"score_spread":0.2135179406489167,"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."}}