{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001116995,0.0002070153,0.0002755135,0.0002292359,0.0003628655,0.0009211355,0.0003346696,0.0000921334,0.000009587243],"category_scores_gemma":[0.0001215198,0.0002108842,0.00006287646,0.0006438536,0.00003288325,0.01018941,0.0002106235,0.0001417525,0.000007944496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004732721,"about_ca_system_score_gemma":0.0001685721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006614177,"about_ca_topic_score_gemma":0.00001389291,"domain_scores_codex":[0.9981721,0.0005367007,0.0005867427,0.0002542504,0.0001758986,0.0002743096],"domain_scores_gemma":[0.998284,0.00009925871,0.0003735647,0.000465961,0.0006957151,0.00008148094],"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":[0.00001695386,0.0000549962,0.0001738451,0.0002511955,0.00007508314,0.000005585899,0.01283946,0.01351104,0.006389869,0.01311942,0.0005431259,0.9530194],"study_design_scores_gemma":[0.0002258437,0.00007273418,0.0001600486,0.000103984,0.000008869874,0.00009152258,0.0005852964,0.938251,0.04895428,0.009145094,0.00214018,0.0002611581],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01304885,0.00004222363,0.9810692,0.00006793754,0.000441943,0.0004615135,0.00001873497,0.0003926944,0.004456887],"genre_scores_gemma":[0.4112513,0.00001170556,0.5882934,0.0002470804,0.00003185009,0.00008057657,0.00006562668,0.000009392968,0.000009050507],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9527583,"threshold_uncertainty_score":0.8882531,"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."}}