{"id":"W4392845778","doi":"10.1145/3625007.3630112","title":"ROBUREC: Building a Robust Recommender using Autoencoders with Anomaly Detection","year":2023,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Recommender system; Anomaly detection; Computer science; Anomaly (physics); Artificial intelligence; Machine learning","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":[0.0001875576,0.0001177441,0.00009742997,0.0002376658,0.0003303972,0.000148433,0.0003284516,0.00005942496,0.00002666481],"category_scores_gemma":[0.000005318121,0.0001003978,0.00004567223,0.001582205,0.00002490026,0.0004344461,0.0001241741,0.0001100496,0.00004420771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008353675,"about_ca_system_score_gemma":0.00003981457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001958434,"about_ca_topic_score_gemma":0.00006772207,"domain_scores_codex":[0.9990492,0.00002455553,0.0001542723,0.0003689811,0.0001474444,0.0002555483],"domain_scores_gemma":[0.9993944,0.00003101967,0.00007033966,0.0003762262,0.00005906636,0.00006899071],"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":[0.00003194597,0.0001895967,0.001635472,0.00004176446,0.0001539563,0.00004356722,0.0007647329,0.569632,0.0526938,0.08936249,0.008281762,0.2771689],"study_design_scores_gemma":[0.0001003743,0.00006808676,0.0004042038,0.0000083875,0.00000549683,0.00004855847,0.00006573022,0.9779392,0.01467649,0.0009290464,0.005579431,0.000175016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01713242,0.000004910642,0.9778183,0.0008192575,0.00007116876,0.0001746828,4.449424e-7,0.002061751,0.001917133],"genre_scores_gemma":[0.5101316,0.000007809885,0.4890052,0.000151268,0.00003063442,0.00004877836,6.362565e-7,0.00001273797,0.0006113297],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4929992,"threshold_uncertainty_score":0.4094103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.044557122635001,"score_gpt":0.2691403065238563,"score_spread":0.2245831838888553,"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."}}