{"id":"W3214350751","doi":"10.1145/3466754","title":"Direction-Aware User Recommendation Based on Asymmetric Network Embedding","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Information Systems","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Embedding; Random walk; Benchmark (surveying); Social network (sociolinguistics); Degree (music); Theoretical computer science; Friendship; Interpersonal ties; Social network analysis; Data mining; Artificial intelligence; Machine learning; World Wide Web; Social media; Mathematics","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":[0.0005881674,0.001081275,0.001318831,0.00200228,0.0004304705,0.0008777392,0.001486556,0.001102666,0.001500898],"category_scores_gemma":[0.003417045,0.0005425344,0.0008780738,0.00266604,0.0004684352,0.002917575,0.001024093,0.00111116,0.001183091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000519337,"about_ca_system_score_gemma":0.0005578737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005755063,"about_ca_topic_score_gemma":0.01510423,"domain_scores_codex":[0.9992306,0.0002230719,0.00004565204,0.0002423125,0.0002033896,0.00005509472],"domain_scores_gemma":[0.9984377,0.0006695082,0.000176217,0.0003466413,0.0002820659,0.00008777239],"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":[0.0004600898,0.0004706557,0.01071223,0.0005185714,0.0003267058,0.000323906,0.000381952,0.4193966,0.01309505,0.03029253,0.01026985,0.5137519],"study_design_scores_gemma":[0.00001646482,0.00006363026,0.0007007303,0.00001680449,0.00002873341,0.000128339,0.00003197258,0.9886709,0.001340067,0.007376394,0.001601982,0.00002389651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05375071,0.001398677,0.938669,0.0002835235,0.00008605071,0.0001336529,0.0008066594,0.001237507,0.003634243],"genre_scores_gemma":[0.723993,0.001222056,0.2627541,0.000276427,0.0001207415,0.000197518,0.002457591,0.000145882,0.008832593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005755063,"threshold_uncertainty_score":0.01144314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993136615691873,"score_gpt":0.2647543712801226,"score_spread":0.2448230051232038,"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."}}