{"id":"W4391790530","doi":"10.2991/978-94-6463-370-2_61","title":"Content-based Filtering for Improving Movie Recommender System","year":2024,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems research/Advances in Intelligent Systems Research","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Recommender system; Collaborative filtering; Computer science; Information retrieval; Multimedia","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":["metaepi_narrow","bibliometrics","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.02453908,0.001809397,0.003323757,0.01280387,0.00102117,0.002057507,0.009534949,0.002007155,0.00006987491],"category_scores_gemma":[0.0020369,0.001696036,0.0008786814,0.003433779,0.001600519,0.003002114,0.00341528,0.007605101,0.001385875],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008034588,"about_ca_system_score_gemma":0.00106361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001720246,"about_ca_topic_score_gemma":0.00195987,"domain_scores_codex":[0.9769105,0.001999818,0.005497455,0.005307945,0.005627735,0.004656543],"domain_scores_gemma":[0.9809197,0.008783417,0.001103039,0.005302295,0.003158127,0.0007334183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003394941,0.0002182664,0.0001368754,0.02238624,0.0002787561,0.001013105,0.0004461527,0.0199499,0.0001399012,0.8837476,0.001108367,0.07023535],"study_design_scores_gemma":[0.0006331183,0.000864053,6.876815e-7,0.02027361,0.00004261466,0.0001291775,0.006403476,0.2004727,0.001784039,0.01719683,0.7504807,0.001719005],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00002158428,0.3819737,0.5225841,0.0003807844,0.009104296,0.009650411,0.0005663191,0.0008451258,0.07487373],"genre_scores_gemma":[0.3344493,0.1853373,0.01188332,0.0001073537,0.004230433,0.03231434,0.001125069,0.001807516,0.4287453],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8665507,"threshold_uncertainty_score":0.9994651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1886902765832301,"score_gpt":0.4205963892299054,"score_spread":0.2319061126466753,"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."}}