{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001411089,0.0001277708,0.0001970071,0.0003247206,0.00005031796,0.0001995352,0.0005667482,0.00008014801,0.00000611723],"category_scores_gemma":[0.00001773143,0.0001056405,0.00003950852,0.0007344052,0.000003833144,0.0002538297,0.0001892557,0.000135674,0.0001375236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006158579,"about_ca_system_score_gemma":0.00002280374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005812641,"about_ca_topic_score_gemma":0.0006822101,"domain_scores_codex":[0.9985752,0.0002173572,0.0003275426,0.0003713609,0.0002059722,0.0003026218],"domain_scores_gemma":[0.9991778,0.0001229131,0.00004086078,0.0005545324,0.00004429743,0.00005958288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002433311,0.0009526478,0.2750669,0.0001411595,0.00007532528,0.0002877433,0.002394631,0.01578461,0.0002498587,0.1833444,0.4222589,0.09941944],"study_design_scores_gemma":[0.0002101763,0.00006427122,0.02605815,0.00006310758,9.798222e-7,0.000003749913,0.00006005038,0.9709693,0.00007947714,0.0002561281,0.001987749,0.000246915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1546016,0.00005629215,0.8276424,0.001042649,0.002054058,0.001025631,0.000009586013,0.00258734,0.01098044],"genre_scores_gemma":[0.9968193,0.00001790976,0.001449689,0.0001555664,0.00002506038,0.0001758292,0.000008162675,0.00001407392,0.001334452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9551846,"threshold_uncertainty_score":0.8787014,"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."}}