{"id":"W4285328254","doi":"10.1109/csci54926.2021.00298","title":"A Review on Multiple Data Source Based Recommendation Systems","year":2021,"lang":"en","type":"review","venue":"2021 International Conference on Computational Science and Computational Intelligence (CSCI)","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Recommender system; Computer science; Matrix decomposition; Information retrieval; Data modeling; Data source; Multimedia; Database","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":[0.002053268,0.00130728,0.00190632,0.003393203,0.000731079,0.001913822,0.002219931,0.001842698,0.007721868],"category_scores_gemma":[0.005097153,0.0006953888,0.001209609,0.007562121,0.0004613327,0.003769738,0.0008742256,0.001407647,0.006392166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002551,"about_ca_system_score_gemma":0.001661611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004902764,"about_ca_topic_score_gemma":0.00529774,"domain_scores_codex":[0.9985309,0.0003060532,0.0001758045,0.0002829641,0.0006344596,0.00006986141],"domain_scores_gemma":[0.9960893,0.002172631,0.0001503558,0.0002022627,0.001306955,0.00007840121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007096883,0.00009396778,0.0006567029,0.01155961,0.0002237872,0.0001449785,0.0001166854,0.002539807,0.0008279736,0.01120452,0.04823614,0.9243248],"study_design_scores_gemma":[0.00003151399,0.000201966,0.001684826,0.004728528,0.00044619,0.001323236,0.0001797296,0.007654723,0.001427634,0.01193904,0.9702607,0.0001219231],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009476247,0.9580067,0.02740545,0.001475555,0.0008232037,0.00008904575,0.0002785073,0.0001955926,0.01077826],"genre_scores_gemma":[0.01057516,0.9518706,0.02937392,0.0008041389,0.001153735,0.0001034377,0.000582736,0.00004535071,0.0054909],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007721868,"threshold_uncertainty_score":0.02583224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2805813739448751,"score_gpt":0.4285001182690183,"score_spread":0.1479187443241433,"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."}}