{"id":"W4410636510","doi":"10.1145/3701716.3717531","title":"Beyond Retrieval: Generating Narratives in Conversational Recommender Systems","year":2025,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Recommender system; Computer science; Narrative; Information retrieval; Natural language processing; World Wide Web; Artificial intelligence; Human–computer interaction; Linguistics","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":[0.000352388,0.00006336022,0.00009247802,0.0001146895,0.00005944653,0.0001192526,0.0002772214,0.00003952938,0.00001659834],"category_scores_gemma":[0.00003589117,0.00005886337,0.00001707792,0.0002932397,0.00001003211,0.00026372,0.0001138175,0.00008629395,0.000006212171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006985853,"about_ca_system_score_gemma":0.00009473668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004630225,"about_ca_topic_score_gemma":0.00001381049,"domain_scores_codex":[0.9992108,0.00007523767,0.0002205958,0.0002445403,0.0001233354,0.0001255128],"domain_scores_gemma":[0.9995894,0.00008707349,0.00003352935,0.0002199581,0.00004936821,0.00002068123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002156337,0.0000175101,0.00257542,0.00001854695,0.00001236403,0.000002211058,0.00220336,0.00846801,0.001334924,0.9807709,0.002171541,0.002423054],"study_design_scores_gemma":[0.0002571059,0.000006627602,0.0003454069,0.00002135175,5.40904e-7,0.000001183006,0.0006565516,0.9874229,0.0006236051,0.009283976,0.001297074,0.00008361531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02346367,0.0001613289,0.9457303,0.004156987,0.0008579105,0.0001165877,3.359353e-7,0.00008019603,0.02543273],"genre_scores_gemma":[0.8823122,0.000003717436,0.1132609,0.001262954,0.00005508114,0.000007849237,0.000001941188,0.000002784293,0.003092515],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.978955,"threshold_uncertainty_score":0.2400379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02869610046458668,"score_gpt":0.2743105291464985,"score_spread":0.2456144286819118,"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."}}