{"id":"W3021636857","doi":"","title":"Customization of Recommendation System Using Collaborative Filtering Algorithm on Cloud Using Mahout.","year":2014,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Collaborative filtering; Recommender system; Scalability; Speedup; Cloud computing; Java; Personalization; World Wide Web; Database; Algorithm; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000937986,0.0002017345,0.0003188429,0.000426822,0.0002783235,0.0003197836,0.0003175762,0.0001252556,0.000004117622],"category_scores_gemma":[0.00007764302,0.0001975235,0.00006007313,0.0007206506,0.00003754022,0.003510434,0.00011707,0.00009625495,0.000009248803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005788348,"about_ca_system_score_gemma":0.00007599285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001717009,"about_ca_topic_score_gemma":0.000002102429,"domain_scores_codex":[0.9982116,0.0002437663,0.0008641879,0.0001830444,0.0002643379,0.0002330819],"domain_scores_gemma":[0.9981266,0.00007812594,0.0009194103,0.0003584167,0.0004664845,0.00005092554],"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":[0.00004022428,0.00006507078,0.0004106645,0.00150707,0.0001041401,0.000001291274,0.01204422,0.01411805,0.003413053,0.0522567,0.0007573784,0.9152821],"study_design_scores_gemma":[0.0003245462,0.0001348754,0.00009296714,0.0006358941,0.00001022476,0.00003316053,0.0007356272,0.9772347,0.01787198,0.0003226839,0.002375162,0.000228151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02015712,0.00001011282,0.9736598,0.00001955406,0.0008992918,0.0004233217,0.00001724527,0.0003098932,0.00450362],"genre_scores_gemma":[0.7915571,0.000004043233,0.2082092,0.00005953724,0.00009938188,0.00001975961,0.00003578693,0.00001155953,0.000003619616],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9631167,"threshold_uncertainty_score":0.8054776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02053946301242007,"score_gpt":0.2513323420004664,"score_spread":0.2307928789880463,"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."}}