{"id":"W4310191069","doi":"10.20944/preprints202211.0534.v1","title":"GPRE: Multi-Path Guided Recommender System Based on Graph Neural Networks","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Recommender system; Computer science; Collaborative filtering; Graph; Information retrieval; Cold start (automotive); Knowledge graph; Revenue; Machine learning; Artificial intelligence; Theoretical computer science","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":[0.0005577028,0.0009086182,0.001420661,0.0006624764,0.0005844947,0.0007422758,0.001967697,0.001812341,0.003689027],"category_scores_gemma":[0.001661396,0.0005070321,0.0008178144,0.0008290866,0.0004001746,0.001720026,0.0008434324,0.001702898,0.001196764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007792064,"about_ca_system_score_gemma":0.0008325747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02632286,"about_ca_topic_score_gemma":0.03145862,"domain_scores_codex":[0.9995277,0.00008634793,0.00003054579,0.0001594539,0.0001328899,0.00006317982],"domain_scores_gemma":[0.9995131,0.0001870321,0.000043732,0.00005997669,0.0001658266,0.0000301972],"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":[0.0003174934,0.0002871758,0.00224248,0.0001933077,0.0002136795,0.0003642664,0.0000947044,0.6506252,0.006011307,0.01050594,0.0168947,0.3122497],"study_design_scores_gemma":[0.00001931404,0.00003609983,0.0001611418,0.000004421633,0.00001380462,0.00004678148,0.000004492939,0.9971317,0.0004599374,0.001352086,0.0007600781,0.00001011964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02618548,0.001422639,0.9613266,0.0007489817,0.0002349743,0.0001340356,0.0005293567,0.004143697,0.005274249],"genre_scores_gemma":[0.6634345,0.001306344,0.3166672,0.001104175,0.0001628066,0.0003268982,0.001515478,0.0001777211,0.01530487],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02632286,"threshold_uncertainty_score":0.05233932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1697420265226111,"score_gpt":0.349887269625409,"score_spread":0.1801452431027979,"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."}}