{"id":"W4367293423","doi":"10.5220/0011826700003467","title":"Novel Topic Models for Content Based Recommender Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Recommender system; Computer science; Content (measure theory); Information retrieval; Mathematics","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":[0.0002528932,0.00009151785,0.0001559604,0.0001420126,0.00006437628,0.00008364187,0.0005086149,0.00003961415,0.000003498122],"category_scores_gemma":[0.0000220693,0.00007561752,0.00009016405,0.0003759116,0.000009231535,0.000348514,0.0001056089,0.00003976878,0.00001580904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004527613,"about_ca_system_score_gemma":0.00002224224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000482449,"about_ca_topic_score_gemma":0.000009539651,"domain_scores_codex":[0.999137,0.00001343552,0.0001967402,0.0002893982,0.0001427356,0.0002207005],"domain_scores_gemma":[0.9991513,0.0001503277,0.00005323407,0.000482777,0.000113898,0.00004844926],"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":[0.000003371687,0.00006480419,0.00003847059,0.00003821139,0.00003953583,0.000001569176,0.0000716384,0.02144835,0.006548328,0.940809,0.01388087,0.01705586],"study_design_scores_gemma":[0.0002234025,0.00002879352,0.00001850876,0.000009591641,0.00000390626,5.783871e-7,0.00003100147,0.9815894,0.00401685,0.009383904,0.004584888,0.0001091935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001130146,0.00001635767,0.9947619,0.001812245,0.0001577545,0.0003115084,0.000002773268,0.001223352,0.001601132],"genre_scores_gemma":[0.278103,0.000006691491,0.7137815,0.001068153,0.0000449486,0.0003539995,0.00001114202,0.00001433492,0.006616194],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9601411,"threshold_uncertainty_score":0.3083593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2072451708935658,"score_gpt":0.3265137113577083,"score_spread":0.1192685404641425,"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."}}