{"id":"W2164224142","doi":"10.1109/icdew.2011.5767661","title":"Ontology-based Web Recommendation from tags","year":2011,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Ontology; World Wide Web; Recommender system; Information retrieval; Semantic Web; Domain (mathematical analysis); Cluster analysis; The Internet; OWL-S; Semantics (computer science); Social Semantic Web; Artificial intelligence","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":[0.001023731,0.0004361335,0.0009085477,0.002236463,0.0008303358,0.001375768,0.001305372,0.0008620363,0.002084801],"category_scores_gemma":[0.004558203,0.0004608813,0.001529203,0.003157351,0.0005475356,0.002393281,0.001164116,0.001150331,0.001087574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061983,"about_ca_system_score_gemma":0.001226676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02911137,"about_ca_topic_score_gemma":0.04709221,"domain_scores_codex":[0.9986857,0.0003443105,0.0001018745,0.0002273257,0.000538203,0.0001026007],"domain_scores_gemma":[0.9983289,0.000601516,0.0001121331,0.0004430029,0.0004520683,0.00006235988],"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":[0.0003279547,0.0004521517,0.005696222,0.0003320082,0.000331174,0.000460367,0.0008122005,0.1951238,0.01346946,0.08313145,0.02610146,0.6737617],"study_design_scores_gemma":[0.00004191512,0.00002699086,0.001093386,0.00002342881,0.00006591879,0.0001152383,0.0001445005,0.9583715,0.002674854,0.029121,0.00827749,0.00004369887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02805709,0.0004971167,0.9630169,0.0005845695,0.0001063688,0.0001493216,0.0007748139,0.001198572,0.005615344],"genre_scores_gemma":[0.3655779,0.0009828631,0.621656,0.0002719771,0.0001250695,0.0002481179,0.002963437,0.0001396552,0.008034931],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02911137,"threshold_uncertainty_score":0.05788386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06500798458340017,"score_gpt":0.2411155074480054,"score_spread":0.1761075228646052,"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."}}