{"id":"W4392354520","doi":"10.18280/ria.380116","title":"Towards Optimizing Hybrid Movie Recommender Systems","year":2024,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recommender system; Computer science; Information retrieval; Multimedia; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002397722,0.001191915,0.002284291,0.0007884127,0.0005506903,0.001848288,0.001763703,0.001851162,0.001919917],"category_scores_gemma":[0.0066144,0.001168789,0.0009577907,0.0012851,0.0006806101,0.002365846,0.00130461,0.001399733,0.0005815164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001153192,"about_ca_system_score_gemma":0.001265369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01185867,"about_ca_topic_score_gemma":0.01239366,"domain_scores_codex":[0.9988317,0.0004846843,0.00006694246,0.0002565382,0.0002495364,0.0001106462],"domain_scores_gemma":[0.9973315,0.001757584,0.0001410506,0.0002623554,0.0004345384,0.00007302709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007389692,0.00005674488,0.0008108156,0.00008680463,0.00008492216,0.000041949,0.00005192811,0.9515731,0.0012791,0.00851848,0.001734977,0.03568723],"study_design_scores_gemma":[0.000005935041,0.00001215725,0.00004395455,0.000002393803,0.000006103989,0.000005051359,0.000006352086,0.9972543,0.0001075765,0.00235233,0.0002014109,0.000002343617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04634587,0.000948453,0.9486926,0.0005123718,0.00005451479,0.00007660203,0.0002318796,0.0006729363,0.002464799],"genre_scores_gemma":[0.588057,0.0007524781,0.4060697,0.0003052672,0.0001132634,0.0002775781,0.0005209958,0.00015247,0.003751257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01185867,"threshold_uncertainty_score":0.0235793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05904223132791295,"score_gpt":0.2934461560996006,"score_spread":0.2344039247716876,"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."}}