{"id":"W3160073778","doi":"10.18280/isi.260202","title":"An Effective Collaborative User Model Using Hybrid Clustering Recommendation Methods","year":2021,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Higher Education, Malaysia; Universiti Tunku Abdul Rahman","keywords":"Cluster analysis; MovieLens; Collaborative filtering; Computer science; Data mining; Fuzzy clustering; Recommender system; Benchmark (surveying); Metric (unit); Clustering high-dimensional data; Similarity (geometry); Correlation clustering; Machine learning; Curse of dimensionality; Artificial intelligence","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":[0.002521359,0.001273997,0.002024568,0.001864072,0.001267738,0.00191261,0.004006345,0.00283831,0.003440639],"category_scores_gemma":[0.004095568,0.0007426172,0.001837743,0.002559939,0.0007807208,0.002680814,0.001610628,0.001478149,0.001931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012445,"about_ca_system_score_gemma":0.001279704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01731863,"about_ca_topic_score_gemma":0.01472454,"domain_scores_codex":[0.9975269,0.000809109,0.0001514391,0.0005910579,0.0007358353,0.0001855885],"domain_scores_gemma":[0.9981463,0.0007500789,0.0001120384,0.0002396685,0.0006729832,0.00007886834],"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":[0.0002317392,0.0002121391,0.001478204,0.0002224804,0.000297251,0.0002470439,0.0003762837,0.8172199,0.003676625,0.03474259,0.004918383,0.1363774],"study_design_scores_gemma":[0.000008531616,0.00002550385,0.00006555178,0.000006038472,0.00001622873,0.00003254079,0.00001209689,0.9966708,0.0002394238,0.002293108,0.000619354,0.00001087568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00683443,0.000370971,0.9894435,0.0001714794,0.00005957096,0.00009675558,0.0001101077,0.0003537569,0.002559371],"genre_scores_gemma":[0.4729601,0.001176622,0.5089044,0.0003402466,0.0002415757,0.0008284216,0.0006470532,0.0001525318,0.01474893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01731863,"threshold_uncertainty_score":0.03443569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02783698280042226,"score_gpt":0.3232241836645915,"score_spread":0.2953872008641693,"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."}}