{"id":"W1976974399","doi":"10.1145/1188966.1188996","title":"Improving web site search using web server logs","year":2006,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Connaught Fund; University of Toronto; National University of Singapore","keywords":"Computer science; Information retrieval; Web page; Web server; Web search engine; Static web page; Web modeling; Web crawler; World Wide Web; Data Web; Ranking (information retrieval); Web mining; Search engine; Web search query; Data mining; Web navigation; The Internet","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003595043,0.0001025872,0.0001245886,0.0001506504,0.0001476216,0.0003503378,0.0005846705,0.00004308042,0.00007237084],"category_scores_gemma":[0.000009794489,0.00008762135,0.0000719091,0.0005981869,0.00002522325,0.0006138895,0.000431072,0.0001022066,0.0002072676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003501015,"about_ca_system_score_gemma":0.0001193574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002881011,"about_ca_topic_score_gemma":0.0003532123,"domain_scores_codex":[0.9988171,0.00004671149,0.000170423,0.0003757515,0.0002713576,0.0003186904],"domain_scores_gemma":[0.9992199,0.00003682753,0.00003890825,0.0005826132,0.00006163942,0.00006009985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007392885,0.0003900962,0.1525545,0.0001224264,0.0001330834,0.0002030513,0.000521023,0.01368072,0.6742463,0.06330036,0.01556447,0.07927664],"study_design_scores_gemma":[0.0001462812,0.00001157045,0.0009940974,0.000008089595,0.000009764382,0.000009927639,0.00002221287,0.9945034,0.002735179,0.00006390997,0.001345403,0.0001501509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7771229,0.0000452721,0.216867,0.0003183866,0.00008540165,0.00003343185,0.000006087609,0.0002144501,0.005307111],"genre_scores_gemma":[0.9227155,0.0000017951,0.07426538,0.0001549516,0.0001135341,6.778734e-7,0.000008783383,0.000006914627,0.002732396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9808227,"threshold_uncertainty_score":0.4355247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198109100242396,"score_gpt":0.2495210837968287,"score_spread":0.2275399927944048,"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."}}