{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001737485,0.00008556636,0.0001117125,0.00006880494,0.00004736085,0.00004580246,0.0004647092,0.00006524214,0.0006872647],"category_scores_gemma":[0.000005899499,0.00007000941,0.00004214972,0.0001023022,0.00001092128,0.0002941893,0.0000773838,0.00006379119,0.0001103217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002206053,"about_ca_system_score_gemma":0.00003453829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001387499,"about_ca_topic_score_gemma":0.000289194,"domain_scores_codex":[0.9992981,0.00006511832,0.0001779458,0.000255189,0.00006350732,0.0001401508],"domain_scores_gemma":[0.9994112,0.00004084402,0.00006871372,0.000395918,0.00003315411,0.00005019419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001543197,0.0003774854,0.02715638,0.00001311161,0.00006099302,0.00001769736,0.001471949,2.532171e-7,0.002089218,0.2935371,0.1590814,0.5161791],"study_design_scores_gemma":[0.001693086,0.0006066748,0.03010126,0.00006107587,0.00001708006,0.00001714482,0.0001218789,0.131179,0.1424214,0.1082369,0.584407,0.001137394],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002089251,0.00001044107,0.8736786,0.001558611,0.0004145871,0.00009871714,0.000002121112,0.0005995498,0.1215481],"genre_scores_gemma":[0.6820519,0.000002139722,0.3165495,0.001175822,0.00002591465,0.0000211821,0.000006547113,0.000004127242,0.0001628811],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6799626,"threshold_uncertainty_score":0.7525067,"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."}}