{"id":"W3160170194","doi":"10.1002/eng2.12411","title":"Mining web content usage patterns of electronic commerce transactions for enhanced customer services","year":2021,"lang":"en","type":"article","venue":"Engineering Reports","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Web analytics; Web mining; Web page; Visitor pattern; Data warehouse; World Wide Web; Path analysis (statistics); Data mining; Web intelligence; Web development","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":[0.000526079,0.0003332175,0.0002898733,0.006147825,0.0002874597,0.000876795,0.0003614009,0.0004434368,0.0008498479],"category_scores_gemma":[0.003058269,0.0001655786,0.0004846698,0.004245268,0.0001555607,0.0007540517,0.0002618166,0.0003178683,0.0005471047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004044954,"about_ca_system_score_gemma":0.0004531989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004055553,"about_ca_topic_score_gemma":0.005750721,"domain_scores_codex":[0.9994752,0.0001014456,0.00006464559,0.00009907196,0.0002024339,0.00005722613],"domain_scores_gemma":[0.997937,0.0009873905,0.0003443412,0.0001603727,0.0004503838,0.0001204552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005524391,0.0009601097,0.7507042,0.0002445816,0.0003345235,0.001403819,0.00064632,0.02105069,0.02259104,0.001192392,0.003991494,0.1963284],"study_design_scores_gemma":[0.00002276095,0.0002672671,0.4689058,0.0000513672,0.000130174,0.001334673,0.0008993665,0.5090912,0.0138274,0.002031516,0.003402474,0.00003603433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869108,0.000102375,0.009428234,0.0000978997,0.0000077938,0.00006122154,0.002138315,0.0003713676,0.0008820137],"genre_scores_gemma":[0.9836331,0.00008030934,0.01177821,0.00001473153,0.000008750226,0.00004673305,0.00381393,0.00002689359,0.0005973454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006147825,"threshold_uncertainty_score":0.008063912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312963243023291,"score_gpt":0.230238828432788,"score_spread":0.217109196002555,"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."}}