{"id":"W4407130178","doi":"10.1109/smap63474.2024.00028","title":"MMREC: LLM Based Multi-Modal Recommender System","year":2024,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Recommender system; Modal; Computer science; Information retrieval","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":[0.0002961828,0.0001281215,0.0001099272,0.0001481125,0.00006453317,0.0004802496,0.0007466718,0.00007808026,0.00003480037],"category_scores_gemma":[0.00001905973,0.00009394587,0.00006270022,0.0004058193,0.0000152891,0.0004676834,0.0001698959,0.0001885356,0.000132647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001128751,"about_ca_system_score_gemma":0.00008065221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005071227,"about_ca_topic_score_gemma":0.000006749403,"domain_scores_codex":[0.9989998,0.00004629068,0.0001602366,0.0003916984,0.0001847944,0.0002171606],"domain_scores_gemma":[0.9993672,0.000086411,0.000022027,0.0004110497,0.0000493667,0.00006397587],"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":[0.000005206913,0.000114383,0.0000508407,0.0007814865,0.00003665289,0.0004043162,0.0004749011,0.00001301161,0.004391886,0.6486805,0.0382265,0.3068203],"study_design_scores_gemma":[0.0001188765,0.0000380642,0.00000752143,0.0002384775,0.00000485301,0.00004720055,0.00002347055,0.9589124,0.02974746,0.001776538,0.008853436,0.0002316805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004955754,0.002116895,0.9856016,0.002207621,0.0005823658,0.0001114168,0.000001531124,0.006015231,0.003313787],"genre_scores_gemma":[0.3899064,9.898871e-7,0.6086429,0.0004705083,0.0000387033,0.00001496447,0.000001358136,0.000009573495,0.0009146231],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9588994,"threshold_uncertainty_score":0.4631058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116551148508732,"score_gpt":0.290798358730528,"score_spread":0.2696328472454407,"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."}}