{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006668931,0.0002184832,0.0002536609,0.0005666825,0.0005112819,0.0007606838,0.000469567,0.0001584252,0.00005182635],"category_scores_gemma":[0.00005101692,0.000212998,0.0001426878,0.00176913,0.000008821859,0.002370383,0.00001521097,0.000275594,0.000217562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002539915,"about_ca_system_score_gemma":0.0001045986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009041737,"about_ca_topic_score_gemma":0.000008135465,"domain_scores_codex":[0.998024,0.0002481402,0.0007256392,0.0002799238,0.000426796,0.0002955333],"domain_scores_gemma":[0.9978955,0.0003700496,0.0003026469,0.000989388,0.0003360982,0.0001062987],"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":[0.00003170914,0.0002648907,0.0003392147,0.0002518394,0.0001383104,0.000005764852,0.0007557333,0.3016767,0.00001308414,0.01274772,0.02962673,0.6541483],"study_design_scores_gemma":[0.000632969,0.0001792081,0.0004311804,0.0002947089,0.00001442285,0.00004902396,0.0003257875,0.5633038,0.001300987,0.000147906,0.4328944,0.0004255567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00005003651,0.00001781396,0.9810253,0.001369545,0.003417879,0.0003871599,0.00001932369,0.0007152106,0.01299773],"genre_scores_gemma":[0.9760879,0.00003983801,0.02155084,0.001286938,0.0001540848,0.0003369024,0.00008487477,0.00001779572,0.000440776],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9760379,"threshold_uncertainty_score":0.8685808,"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."}}