{"id":"W108479605","doi":"","title":"A New Similarity Measure to Understand Visitor Behavior in a Web Site","year":2004,"lang":"en","type":"article","venue":"IEICE Transactions on Information and Systems","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Visitor pattern; Computer science; World Wide Web; Cluster analysis; Similarity (geometry); Web page; Similarity measure; The Internet; Web site; Information retrieval; Measure (data warehouse); Web analytics; Site map; Order (exchange); Web mining; Web navigation; Web modeling; Static web page; Data mining; Web intelligence; 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":[0.001780091,0.0007964119,0.001478488,0.01113731,0.0008021494,0.001832666,0.001383285,0.001617096,0.001676736],"category_scores_gemma":[0.0109529,0.000221587,0.001138828,0.008219316,0.0009332364,0.004571724,0.001222754,0.00115275,0.0008176277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293362,"about_ca_system_score_gemma":0.000785426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003256381,"about_ca_topic_score_gemma":0.00246294,"domain_scores_codex":[0.9972194,0.000502947,0.0004416666,0.0005113173,0.001134405,0.0001902374],"domain_scores_gemma":[0.9948318,0.002261561,0.0007980759,0.0006587204,0.001130232,0.0003195994],"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":[0.0008840754,0.001759741,0.1709771,0.001164905,0.001368504,0.0005543911,0.002693098,0.05887028,0.03981537,0.06152724,0.01414132,0.646244],"study_design_scores_gemma":[0.00006942982,0.001248419,0.1457387,0.0001891506,0.0003901052,0.00290682,0.001816901,0.7534676,0.01160432,0.06120458,0.02105971,0.0003043147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2263987,0.002161468,0.7598217,0.0003363445,0.0001658744,0.0005457434,0.002216385,0.00136022,0.006993638],"genre_scores_gemma":[0.7512327,0.0004586921,0.2431449,0.0001165448,0.0001717365,0.0004159684,0.002475019,0.0001472623,0.001837065],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01113731,"threshold_uncertainty_score":0.009414136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02053953015793934,"score_gpt":0.2451619656474609,"score_spread":0.2246224354895215,"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."}}