{"id":"W1510597680","doi":"","title":"Using learned browsing behavior models to recommend relevant web pages","year":2005,"lang":"en","type":"article","venue":"Alexandria (UniSG) (University of St.Gallen)","topic":"Topic Modeling","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Session (web analytics); Computer science; World Wide Web; Web page; Set (abstract data type); Information retrieval; Web navigation; User information; Empirical research; Information system; Mathematics; Engineering","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":[0.002071717,0.001416838,0.001138339,0.002611116,0.0003553595,0.001425324,0.001602304,0.001319573,0.001070614],"category_scores_gemma":[0.01149065,0.0007329258,0.0009243852,0.001561242,0.0003579693,0.002661711,0.0004963086,0.001916262,0.0007120031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095235,"about_ca_system_score_gemma":0.000887898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01299429,"about_ca_topic_score_gemma":0.0196926,"domain_scores_codex":[0.9990898,0.0003834657,0.00006732667,0.0002786852,0.0001140201,0.00006678789],"domain_scores_gemma":[0.9910782,0.007081858,0.0004878091,0.0005755808,0.0006094542,0.0001670812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006851533,0.002145999,0.09239887,0.0003160098,0.0007454093,0.0001799376,0.000729521,0.6129736,0.004066352,0.004060441,0.006188614,0.27551],"study_design_scores_gemma":[0.0000133062,0.00003992027,0.001277158,0.000007482348,0.00002366377,0.00002316859,0.0000187074,0.9963897,0.0003169731,0.001691664,0.0001903109,0.000007922449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4527958,0.001340508,0.5384443,0.0008289493,0.00006160395,0.000218731,0.001432935,0.002735301,0.002141915],"genre_scores_gemma":[0.8701752,0.0004616679,0.1234136,0.0001762221,0.0001024824,0.0002248091,0.003665188,0.0001267072,0.001654105],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01299429,"threshold_uncertainty_score":0.0258373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1198296812779814,"score_gpt":0.2635199684319782,"score_spread":0.1436902871539967,"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."}}