{"id":"W2024385674","doi":"10.5539/cis.v4n1p186","title":"One Improved Collaborative Filtering Method Based on Information Transformation","year":2010,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shanghai Leading Academic Discipline Project","keywords":"Collaborative filtering; Computer science; Similarity (geometry); Hamming distance; Bipartite graph; Rank (graph theory); Transformation (genetics); Process (computing); Data mining; Information retrieval; Recommender system; Degree (music); Algorithm; Theoretical computer science; Artificial intelligence; Mathematics","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":[0.001445695,0.0007974891,0.001510407,0.001766501,0.0007908304,0.001050967,0.001555287,0.001520068,0.003098774],"category_scores_gemma":[0.002579965,0.0003953273,0.001412422,0.002048544,0.0006147508,0.002191447,0.0009341537,0.001040363,0.001292766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006688091,"about_ca_system_score_gemma":0.0008561082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003452019,"about_ca_topic_score_gemma":0.002584303,"domain_scores_codex":[0.9978189,0.0004648732,0.0001137136,0.0005599041,0.0009392924,0.0001031802],"domain_scores_gemma":[0.9988943,0.0003448103,0.00006605285,0.0002262695,0.0004178963,0.0000507948],"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":[0.0002863887,0.0001962601,0.001063449,0.0003900378,0.0003198858,0.0001597451,0.0002083507,0.09194814,0.02272982,0.05188079,0.00646788,0.8243493],"study_design_scores_gemma":[0.00007383923,0.0001525708,0.0005968917,0.00001908162,0.000103773,0.0003428513,0.00002445877,0.9634357,0.00801726,0.01508096,0.01208845,0.00006415245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001678897,0.0002540004,0.9967095,0.00006570322,0.00007581378,0.00002200509,0.00002306556,0.0002123395,0.0009586805],"genre_scores_gemma":[0.1417592,0.0007791626,0.8465627,0.0002413616,0.0004064706,0.000162348,0.0002642035,0.0001296608,0.009694857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003452019,"threshold_uncertainty_score":0.0103665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007469658878520445,"score_gpt":0.270198430075522,"score_spread":0.2627287711970015,"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."}}