{"id":"W3194347029","doi":"10.1007/s13278-021-00785-5","title":"Multi-source based movie recommendation with ratings and the side information","year":2021,"lang":"en","type":"article","venue":"Social Network Analysis and Mining","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MovieLens; Computer science; Recommender system; Collaborative filtering; Variety (cybernetics); Information retrieval; Trailer; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001526065,0.001031096,0.001823177,0.003480534,0.0006409633,0.001596751,0.001485812,0.001278407,0.002101986],"category_scores_gemma":[0.007263827,0.0005277417,0.001387807,0.004893821,0.0003021519,0.003168439,0.0008482615,0.001193508,0.001584609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004782724,"about_ca_system_score_gemma":0.0005148869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00567852,"about_ca_topic_score_gemma":0.01330244,"domain_scores_codex":[0.9979365,0.0006323793,0.0001472238,0.0004328664,0.0007505337,0.0001005236],"domain_scores_gemma":[0.9949716,0.00238852,0.0003656564,0.0008816434,0.001226062,0.0001663794],"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":[0.002989859,0.001216981,0.05735721,0.001767724,0.002783718,0.00124079,0.0004607564,0.1655196,0.03082233,0.01816403,0.03150501,0.686172],"study_design_scores_gemma":[0.00002942481,0.000180332,0.00600915,0.00004143323,0.0002754246,0.0003278277,0.0000645956,0.9831036,0.003048962,0.004691131,0.002180837,0.00004727565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1678015,0.00520645,0.8081912,0.0009267923,0.0003993166,0.000323456,0.005539782,0.001346179,0.01026526],"genre_scores_gemma":[0.8350846,0.001397709,0.1499566,0.0001335271,0.0006028231,0.0001443491,0.00474443,0.0001017438,0.007834161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00567852,"threshold_uncertainty_score":0.01129097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142841721809073,"score_gpt":0.232922560340746,"score_spread":0.2214941431226553,"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."}}