{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004231586,0.001286757,0.002190588,0.002460191,0.001294883,0.003671434,0.002824576,0.002492514,0.004048535],"category_scores_gemma":[0.01797966,0.00109308,0.001890862,0.003584226,0.000766208,0.006216854,0.001839001,0.003282689,0.003126217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001494934,"about_ca_system_score_gemma":0.001436182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006475338,"about_ca_topic_score_gemma":0.01058973,"domain_scores_codex":[0.9966222,0.001504014,0.0002403723,0.0006605566,0.0007383329,0.0002345053],"domain_scores_gemma":[0.9890315,0.007765558,0.0004455852,0.001071028,0.001369837,0.0003165528],"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":[0.001068887,0.0007521497,0.007050789,0.0009169567,0.0008562478,0.0003611624,0.001293974,0.3054667,0.01230737,0.1977624,0.03976521,0.4323981],"study_design_scores_gemma":[0.00002738923,0.00004094336,0.0003188613,0.00002136021,0.00006752337,0.0000594603,0.00003523592,0.9615578,0.0005602934,0.03447584,0.002812108,0.00002321829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01397486,0.001718402,0.9794119,0.0009359875,0.0002485536,0.0001302498,0.0008283256,0.0009244324,0.001827307],"genre_scores_gemma":[0.4851239,0.003826521,0.484314,0.0006508271,0.001778624,0.0009210805,0.004592692,0.0006359387,0.01815649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006475338,"threshold_uncertainty_score":0.02237904,"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."}}