{"id":"W2997261254","doi":"10.1609/aaai.v34i04.5945","title":"Memory Augmented Graph Neural Networks for Sequential Recommendation","year":2020,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":231,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Recommender system; Graph; Term (time); Artificial neural network; Variety (cybernetics); Machine learning; Artificial intelligence; Information retrieval; Data mining; 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":[0.0009061508,0.001051272,0.00127646,0.0009916731,0.0004718679,0.0007285446,0.001706332,0.001439729,0.002382762],"category_scores_gemma":[0.00407873,0.0006294834,0.0007377344,0.001467955,0.0005706591,0.001719168,0.0006754411,0.00195991,0.0006894565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383457,"about_ca_system_score_gemma":0.00114675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04098589,"about_ca_topic_score_gemma":0.05205005,"domain_scores_codex":[0.9995674,0.0001006795,0.0000290998,0.0001508358,0.00008502737,0.00006690916],"domain_scores_gemma":[0.9985425,0.0008664072,0.000132526,0.0001537199,0.0002569991,0.00004786766],"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":[0.0001131034,0.00007142223,0.001097571,0.00007364065,0.00007124998,0.00005576103,0.00004342263,0.9214579,0.000791349,0.004850525,0.001524775,0.06984931],"study_design_scores_gemma":[0.000002982488,0.000009489178,0.00009985587,0.000002912837,0.000005690161,0.000004916822,0.000002169607,0.9967198,0.00008029478,0.002935301,0.0001335177,0.000003139239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07498649,0.003827772,0.9139456,0.0009906664,0.0002182977,0.00007551683,0.0006944895,0.00184405,0.00341715],"genre_scores_gemma":[0.8760828,0.00139362,0.1125269,0.0003851857,0.0001465008,0.0001481987,0.000953541,0.00009765042,0.008265658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04098589,"threshold_uncertainty_score":0.08149463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1317487524637631,"score_gpt":0.3104929346365802,"score_spread":0.1787441821728171,"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."}}