{"id":"W4407953538","doi":"10.1145/3701551.3703485","title":"Tutorial on Recommendation with Generative Models (Gen-RecSys)","year":2025,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Recommender system; Artificial intelligence; Generative model; Generative grammar; Computational biology; Machine learning; Biology","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":[0.0009745758,0.001553679,0.0008423975,0.0009236381,0.0005317689,0.002362767,0.001211437,0.001698671,0.07097834],"category_scores_gemma":[0.003365925,0.0006585449,0.00143194,0.001683892,0.0003857295,0.003795905,0.001456325,0.003278452,0.04878481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009299102,"about_ca_system_score_gemma":0.0008336862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001492739,"about_ca_topic_score_gemma":0.002315019,"domain_scores_codex":[0.9993993,0.000175585,0.0000349457,0.0001352987,0.0002058791,0.0000490181],"domain_scores_gemma":[0.9991679,0.0004842749,0.00003338052,0.0000815528,0.0001607371,0.00007229492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005477263,0.00009268069,0.0002148611,0.0008140255,0.00006588789,0.0001786402,0.0001519354,0.006339247,0.001692762,0.0680276,0.5826932,0.3396744],"study_design_scores_gemma":[0.00001490132,0.00006569132,0.000237426,0.0003195693,0.00001910757,0.0004232597,0.00003734521,0.00854838,0.0005816624,0.03565313,0.9540657,0.00003384887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002984781,0.1189485,0.6193014,0.01532021,0.01881318,0.0004917269,0.004517799,0.01184331,0.2077791],"genre_scores_gemma":[0.04176458,0.1294792,0.3891802,0.01670957,0.01659801,0.001199656,0.01469428,0.005625653,0.3847488],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07097834,"threshold_uncertainty_score":0.2374462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02276241839350379,"score_gpt":0.2635785394613011,"score_spread":0.2408161210677973,"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."}}