{"id":"W4353115071","doi":"10.1145/3543507.3583237","title":"Dynamically Expandable Graph Convolution for Streaming Recommendation","year":2023,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Graph; Convolution (computer science); Recommender system; Information retrieval; Theoretical computer science; 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":[0.000515603,0.0007937427,0.0008125683,0.0007186774,0.0004348398,0.000470566,0.001130168,0.0008343979,0.002313853],"category_scores_gemma":[0.002901084,0.0003838439,0.0007365289,0.00103873,0.0005567563,0.001460145,0.0007682908,0.001390985,0.0007958512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008210611,"about_ca_system_score_gemma":0.001018861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01461419,"about_ca_topic_score_gemma":0.02248465,"domain_scores_codex":[0.9996307,0.00007930263,0.00001915365,0.0001161931,0.0001052215,0.00004944232],"domain_scores_gemma":[0.9991387,0.0003825915,0.00007282869,0.0002033654,0.0001464339,0.00005610328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001785641,0.0001207937,0.0020131,0.0001165265,0.0000695922,0.0002252805,0.0001495614,0.5379188,0.01548259,0.02014792,0.005978502,0.4175988],"study_design_scores_gemma":[0.000002973195,0.00001367853,0.000120048,0.000002471981,0.000005479917,0.00003193618,0.000006532584,0.9944323,0.0009359901,0.003821419,0.0006228965,0.000004336944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02066652,0.0002959736,0.9762225,0.0001422708,0.00003739548,0.00002591769,0.0001104955,0.001313416,0.001185503],"genre_scores_gemma":[0.4948068,0.0004883426,0.4977232,0.0002911274,0.00007571782,0.0001033453,0.0008425472,0.0002592461,0.005409689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01461419,"threshold_uncertainty_score":0.02905828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02947416752828784,"score_gpt":0.2866297022030592,"score_spread":0.2571555346747714,"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."}}