{"id":"W4385567607","doi":"10.1145/3580305.3599838","title":"Hierarchical Projection Enhanced Multi-behavior Recommendation","year":2023,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Weighting; Downstream (manufacturing); Projection (relational algebra); Task (project management); Transfer of learning; Machine learning; Code (set theory); Data mining; Artificial intelligence; Source code; Upstream (networking); Information transfer; Algorithm","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":[0.001121961,0.001290371,0.001501786,0.001087826,0.0004571353,0.0006187936,0.002049,0.001053868,0.002496087],"category_scores_gemma":[0.00367661,0.0005635413,0.00117738,0.0015315,0.0004178926,0.001912465,0.001032085,0.001520677,0.001117252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007072627,"about_ca_system_score_gemma":0.0009460385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01871127,"about_ca_topic_score_gemma":0.03214448,"domain_scores_codex":[0.9987168,0.0003682185,0.00005880892,0.0004030052,0.0003300705,0.0001231312],"domain_scores_gemma":[0.9983459,0.0007074492,0.0001010085,0.0003195224,0.000434417,0.00009176427],"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":[0.0004875587,0.0005661916,0.008493296,0.0003471208,0.0004510562,0.0002330363,0.0003182645,0.4097706,0.009533077,0.005577992,0.009681004,0.5545408],"study_design_scores_gemma":[0.00001204737,0.00005454683,0.0007779034,0.000006720931,0.00002418519,0.0000391983,0.00001280393,0.9958774,0.0008927875,0.001780167,0.0005110185,0.00001120045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0351673,0.0007609912,0.9591749,0.0002406412,0.00005363991,0.0001079377,0.000524217,0.002082978,0.001887387],"genre_scores_gemma":[0.6774917,0.0006661825,0.3110496,0.000357224,0.0001061528,0.0002989538,0.002174451,0.0001844972,0.007671332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01871127,"threshold_uncertainty_score":0.03720474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0626190056906927,"score_gpt":0.3332493198740393,"score_spread":0.2706303141833466,"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."}}