{"id":"W2056767790","doi":"10.1145/2508037.2508038","title":"Mining search and browse logs for web search","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Intelligent Systems and Technology","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Web search query; Terabyte; Web search engine; Search engine; Search analytics; Information retrieval; World Wide Web; Web crawler; Ranking (information retrieval); Web log analysis software; Transaction log; Metasearch engine; Database; Web page; Static web page; Web navigation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002331513,0.001031143,0.001257645,0.01155495,0.0006983242,0.002165049,0.001283529,0.000967674,0.0007908831],"category_scores_gemma":[0.02317209,0.0005779457,0.001215251,0.008466845,0.0004119478,0.004377893,0.001118563,0.00132113,0.0012067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006733637,"about_ca_system_score_gemma":0.001744636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005932498,"about_ca_topic_score_gemma":0.01297555,"domain_scores_codex":[0.9978048,0.0005919825,0.0003134707,0.0003377998,0.0007961814,0.0001556797],"domain_scores_gemma":[0.9870617,0.007776345,0.001302263,0.001769589,0.001796325,0.0002938929],"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":[0.0007334998,0.00145883,0.2003548,0.002215625,0.0005400669,0.000888202,0.001778758,0.03315032,0.01354242,0.009022283,0.03115232,0.7051629],"study_design_scores_gemma":[0.00007272461,0.000323834,0.08191785,0.0002807823,0.0002811139,0.001276095,0.001662838,0.8479558,0.01288903,0.03313047,0.0200851,0.0001243955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.486865,0.01047066,0.4411843,0.002202977,0.0001615174,0.001242817,0.03617948,0.01580373,0.00588961],"genre_scores_gemma":[0.6979474,0.003472952,0.2483506,0.0002334507,0.0002232196,0.0007238422,0.04615836,0.0004018934,0.002488328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01155495,"threshold_uncertainty_score":0.01233035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03611578898037965,"score_gpt":0.2776240375976158,"score_spread":0.2415082486172361,"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."}}