{"id":"W2743003917","doi":"10.1145/3106426.3106542","title":"Bitwise parallel association rule mining for web page recommendation","year":2017,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Web Intelligence","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Association rule learning; Computer science; Web mining; Data mining; Web page; Big data; Apriori algorithm; Information retrieval; Web analytics; Web intelligence; World Wide Web; Data science; Web modeling","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":[0.003257717,0.0009944566,0.002013435,0.003995067,0.001205365,0.001656967,0.002281699,0.001120412,0.002177921],"category_scores_gemma":[0.01154259,0.0007084787,0.001475327,0.006293891,0.0007160617,0.002984933,0.001123728,0.002004698,0.002530737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000750344,"about_ca_system_score_gemma":0.002526453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009725683,"about_ca_topic_score_gemma":0.01028804,"domain_scores_codex":[0.9961998,0.0008234781,0.0004672704,0.0008555011,0.001436402,0.0002175072],"domain_scores_gemma":[0.9932412,0.002550518,0.0006481867,0.001485062,0.00190158,0.0001735529],"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":[0.000945562,0.000569922,0.009818519,0.0003331425,0.0003755225,0.0003988125,0.0001615415,0.1344113,0.008475725,0.01120571,0.009083305,0.8242209],"study_design_scores_gemma":[0.00006083486,0.0001349962,0.001386366,0.00002345724,0.00008678877,0.0003721256,0.00003130047,0.9702991,0.003527629,0.02019331,0.003847985,0.00003610078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02097292,0.001618347,0.9713529,0.0005564934,0.000200512,0.0002246236,0.0007115903,0.002950301,0.001412258],"genre_scores_gemma":[0.2181539,0.001758575,0.7738771,0.0004420831,0.0002454051,0.0004310486,0.00208435,0.0001506468,0.002856799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009725683,"threshold_uncertainty_score":0.01933813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07745921142831687,"score_gpt":0.3271662999632345,"score_spread":0.2497070885349177,"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."}}