{"id":"W2159137083","doi":"10.5267/j.msl.2013.05.014","title":"Users’ recognition in web using web mining techniques","year":2013,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Web mining; World Wide Web; Data mining; Data science; Information retrieval; Web page","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":[0.00121725,0.000508032,0.0006101141,0.006791205,0.0005887696,0.001640734,0.0007330107,0.0006840442,0.001587148],"category_scores_gemma":[0.003715937,0.0003233036,0.001007633,0.004032564,0.0002995766,0.001825635,0.0006252478,0.0006988109,0.001224239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003983784,"about_ca_system_score_gemma":0.000464181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004406399,"about_ca_topic_score_gemma":0.004864476,"domain_scores_codex":[0.9981981,0.0003210187,0.0002144511,0.0003796449,0.0007466478,0.0001400939],"domain_scores_gemma":[0.9981058,0.0007079164,0.0002758032,0.0002669116,0.0005703804,0.00007316181],"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":[0.0002807784,0.0006235686,0.1101404,0.0004980451,0.0002736682,0.001400243,0.001907938,0.016708,0.02198916,0.008856778,0.01113254,0.8261889],"study_design_scores_gemma":[0.00003607925,0.0002324468,0.1192225,0.0001980863,0.0001983137,0.003409308,0.002619313,0.7753392,0.04542976,0.02097527,0.03216,0.0001797289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.263456,0.001165327,0.7029517,0.0007886469,0.0001798928,0.0006835208,0.002848374,0.007341673,0.02058485],"genre_scores_gemma":[0.7243188,0.0006284992,0.2646674,0.0001936882,0.00007137028,0.0002829197,0.002208609,0.0001632128,0.007465424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006791205,"threshold_uncertainty_score":0.008761466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03401575108415038,"score_gpt":0.2561969717180583,"score_spread":0.2221812206339079,"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."}}