{"id":"W4386136194","doi":"10.1145/3616379","title":"Multi-Interest Multi-Round Conversational Recommendation System with Fuzzy Feedback Based User Simulator","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Recommender Systems","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Preference; Recommender system; Human–computer interaction; Fuzzy logic; Information retrieval; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001098693,0.0005975267,0.0006380631,0.0008439642,0.0006493181,0.0007003603,0.001407885,0.0002985178,0.00006274712],"category_scores_gemma":[0.00002353417,0.0005211759,0.0002433057,0.001331495,0.00005491526,0.001051428,0.00005178977,0.0005035742,0.0004988089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006158156,"about_ca_system_score_gemma":0.0001653612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005658465,"about_ca_topic_score_gemma":0.0002664694,"domain_scores_codex":[0.9960372,0.0006077971,0.0009797616,0.001144185,0.0005082118,0.0007228568],"domain_scores_gemma":[0.9964235,0.0007302842,0.0004296121,0.001790055,0.0003198038,0.0003067837],"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":[0.001855254,0.01511244,0.02184717,0.01177445,0.01050489,0.0005972192,0.0131448,0.2752079,0.005048112,0.05357017,0.2875536,0.303784],"study_design_scores_gemma":[0.0051491,0.0005268776,0.001523579,0.0007805319,0.00006163912,0.00009143843,0.002367056,0.9330304,0.001351222,0.00002991476,0.05389279,0.001195492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001158916,0.00002075154,0.9866225,0.004160675,0.00327182,0.00145482,0.0001080264,0.002847866,0.0003546915],"genre_scores_gemma":[0.9477242,0.0000143012,0.04953411,0.0004579197,0.0001091714,0.0007202214,0.0001181162,0.00009688744,0.001225081],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9465653,"threshold_uncertainty_score":0.999724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08600942693861284,"score_gpt":0.2924780118068677,"score_spread":0.2064685848682549,"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."}}