{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001228065,0.0008394891,0.001300021,0.0003660186,0.0008046976,0.0008969479,0.002362048,0.00157326,0.004805343],"category_scores_gemma":[0.002777074,0.0004525296,0.0007844723,0.000229721,0.0004036335,0.001083745,0.001381086,0.001227351,0.001299787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006567189,"about_ca_system_score_gemma":0.001031632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112483,"about_ca_topic_score_gemma":0.008194828,"domain_scores_codex":[0.9991098,0.0002161065,0.00008855471,0.000277661,0.0002046145,0.0001031196],"domain_scores_gemma":[0.9985795,0.0006176059,0.00008252304,0.0001541255,0.0003570625,0.0002091784],"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":[0.00343044,0.001188345,0.009794625,0.0007787548,0.0004181099,0.002103616,0.002011658,0.6305134,0.06799328,0.01078208,0.006866378,0.2641193],"study_design_scores_gemma":[0.00003880768,0.00006690445,0.0001590586,0.000003105703,0.00001688014,0.000064208,0.00002237896,0.9973815,0.001298732,0.0004616925,0.0004703769,0.00001627432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09052382,0.0004405142,0.8979607,0.0003773484,0.0001090926,0.0004667241,0.0002653998,0.004926362,0.004930052],"genre_scores_gemma":[0.8887628,0.0001337979,0.1055182,0.0001992678,0.00004044245,0.0004506782,0.0002922963,0.00005861536,0.004543877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0112483,"threshold_uncertainty_score":0.02236563,"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."}}