{"id":"W4285308692","doi":"10.18653/v1/2022.nlp4convai-1.17","title":"Toward Knowledge-Enriched Conversational Recommendation Systems","year":2022,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"National Research Foundation Singapore; National Research Foundation","keywords":"Computer science; Recommender system; Knowledge graph; Natural language processing; Scale (ratio); Artificial intelligence; Information retrieval; World Wide Web; Human–computer interaction","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":[0.003699696,0.001377203,0.001150496,0.001457187,0.001172711,0.002375267,0.003287514,0.002565728,0.003835694],"category_scores_gemma":[0.01240116,0.000887557,0.00115075,0.00112759,0.0007451731,0.006728048,0.003965241,0.002903027,0.004991476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138377,"about_ca_system_score_gemma":0.001855639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008060611,"about_ca_topic_score_gemma":0.01351188,"domain_scores_codex":[0.9968193,0.001428582,0.000170023,0.0009063474,0.000464536,0.0002112733],"domain_scores_gemma":[0.9954605,0.002127986,0.0001869397,0.001096696,0.0008938141,0.0002341355],"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":[0.001041797,0.001037496,0.003822843,0.0008949892,0.0003888677,0.0007567078,0.00210441,0.1310756,0.03970167,0.03550273,0.05553773,0.7281352],"study_design_scores_gemma":[0.00004012373,0.00006747548,0.0003281877,0.00003845385,0.00008344124,0.0001112468,0.0002808948,0.9391087,0.009816544,0.0329718,0.01711597,0.00003706961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02171356,0.0009140832,0.9517721,0.001294307,0.0001622235,0.0002159633,0.0009879934,0.01809047,0.004849229],"genre_scores_gemma":[0.3264045,0.000723442,0.6542936,0.001186156,0.0002957168,0.0004426409,0.005820483,0.0008923248,0.009941026],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008060611,"threshold_uncertainty_score":0.01956606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06068580457003696,"score_gpt":0.2693948918523879,"score_spread":0.2087090872823509,"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."}}