{"id":"W4403297896","doi":"10.3390/app14209206","title":"A Multimodal Recommender System Using Deep Learning Techniques Combining Review Texts and Images","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Ministry of Education, India; National Research Foundation of Korea; National Research Foundation","keywords":"Computer science; Recommender system; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001104289,0.001021908,0.001191901,0.001620173,0.0004652911,0.0009379198,0.001245246,0.001420818,0.002476818],"category_scores_gemma":[0.002595886,0.0005711134,0.001036424,0.001214838,0.0002327463,0.001592677,0.0008244067,0.001346944,0.001665546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008355138,"about_ca_system_score_gemma":0.0007753876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02091372,"about_ca_topic_score_gemma":0.04533521,"domain_scores_codex":[0.9994721,0.0001203817,0.00003543944,0.0002015115,0.0001201634,0.00005041694],"domain_scores_gemma":[0.9991203,0.0003165012,0.00007039274,0.0001048404,0.0003296554,0.00005830935],"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":[0.0005417686,0.0007609429,0.007565564,0.0004063979,0.0007637685,0.0002544517,0.0002438512,0.06619254,0.02165663,0.00294436,0.01948726,0.8791825],"study_design_scores_gemma":[0.0000309795,0.0002102504,0.001742219,0.00002329552,0.0001302543,0.0001402453,0.00003277509,0.9914369,0.002624039,0.00136235,0.002232696,0.00003404741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1045474,0.004010004,0.8750874,0.001782229,0.0005054544,0.0004054841,0.001598276,0.006293929,0.005769911],"genre_scores_gemma":[0.5984449,0.001238539,0.3831203,0.0009291755,0.0003851248,0.0003053117,0.002088353,0.0001302599,0.0133581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02091372,"threshold_uncertainty_score":0.04158396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02953477476178488,"score_gpt":0.3004914840239764,"score_spread":0.2709567092621915,"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."}}