{"id":"W4401863720","doi":"10.1145/3637528.3671733","title":"Probabilistic Attention for Sequential Recommendation","year":2024,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Google (Canada)","funders":"","keywords":"Probabilistic logic; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003315982,0.00005977585,0.00006023559,0.00007044389,0.0000499115,0.0003487096,0.0001686511,0.00003269828,0.00003290372],"category_scores_gemma":[0.000009315772,0.00004778762,0.00006167043,0.0001274264,0.000005094985,0.0004417685,0.00004973301,0.00003503741,0.00002863359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004467178,"about_ca_system_score_gemma":0.00002643649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002281781,"about_ca_topic_score_gemma":0.000009103799,"domain_scores_codex":[0.9994214,0.00002434875,0.0001511809,0.0002387234,0.00005596673,0.0001084469],"domain_scores_gemma":[0.9997183,0.00005266531,0.00001863869,0.0001494035,0.00003713645,0.00002383314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[6.714718e-7,0.00001272882,0.000008407747,0.00008579493,0.0000107165,6.566655e-7,0.00004592721,6.580815e-7,0.0005648079,0.7321215,0.03461761,0.2325305],"study_design_scores_gemma":[0.0001228499,0.000141033,0.0000799277,0.0000665049,0.000008413871,0.0000264772,0.00001032573,0.4056405,0.002324472,0.1356426,0.4557481,0.000188785],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002015973,0.00002744465,0.9850351,0.004147295,0.001154817,0.0003686343,0.000002247598,0.0008699201,0.008192894],"genre_scores_gemma":[0.8509706,0.000007147949,0.1452183,0.0001840019,0.0002280478,0.0003123248,0.00003237325,0.00001223277,0.003035006],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.850769,"threshold_uncertainty_score":0.3362615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04397014614760297,"score_gpt":0.3128859607941188,"score_spread":0.2689158146465158,"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."}}