{"id":"W4385763811","doi":"10.24963/ijcai.2023/746","title":"A Survey on User Behavior Modeling in Recommender Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Recommender system; Strengths and weaknesses; Field (mathematics); Data science; Information retrieval","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":[0.005930024,0.001878479,0.002728247,0.003640365,0.0009765429,0.002592248,0.002944676,0.002216949,0.003111621],"category_scores_gemma":[0.017484,0.00115667,0.002337498,0.008194279,0.0005711621,0.00485163,0.001240388,0.002027786,0.002750196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001700829,"about_ca_system_score_gemma":0.001617631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01107708,"about_ca_topic_score_gemma":0.008019756,"domain_scores_codex":[0.9944325,0.002488681,0.0006499868,0.0009558698,0.001276248,0.0001967495],"domain_scores_gemma":[0.9866905,0.009632727,0.0004425178,0.001394191,0.001698669,0.0001413377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001711971,0.0004270845,0.01902269,0.006128477,0.0007016838,0.0002066664,0.0006603919,0.03820414,0.00133095,0.04469513,0.02223504,0.8662165],"study_design_scores_gemma":[0.00005999055,0.0006604993,0.01910738,0.004190711,0.001109382,0.002191004,0.001013455,0.5429142,0.00374587,0.09682678,0.3277887,0.0003919852],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01368042,0.2878146,0.6773917,0.003433125,0.0006758697,0.000420522,0.001807847,0.001339905,0.01343612],"genre_scores_gemma":[0.2198769,0.3515347,0.4117821,0.00182895,0.002721671,0.0007792839,0.003957836,0.0002853937,0.007233213],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01107708,"threshold_uncertainty_score":0.03136134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1724255339031397,"score_gpt":0.3260816726324926,"score_spread":0.1536561387293529,"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."}}