{"id":"W2153860712","doi":"","title":"Create a Profile for User Using Web Usage Mining","year":2013,"lang":"en","type":"article","venue":"Journal of academic and applied studies","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Personalization; Recommender system; Session (web analytics); User profile; Cluster analysis; Web mining; Information retrieval; Data mining; Similarity (geometry); User modeling; Web navigation; World Wide Web; Web page; Machine learning; User interface; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001022355,0.001089284,0.001138908,0.004161851,0.0005196718,0.001160992,0.0008254695,0.0008264202,0.001638732],"category_scores_gemma":[0.004414506,0.000397545,0.0007851727,0.001975884,0.0001054048,0.002009712,0.0007311441,0.0008576763,0.002998628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003322962,"about_ca_system_score_gemma":0.0006083315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004792449,"about_ca_topic_score_gemma":0.006276067,"domain_scores_codex":[0.9987423,0.0002478113,0.0001733943,0.0003032376,0.0004469606,0.00008635384],"domain_scores_gemma":[0.9975911,0.0006360033,0.0002520464,0.0005540348,0.0008206941,0.0001462148],"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":[0.0006144333,0.001070608,0.1892111,0.0005328071,0.0003040126,0.0005902392,0.001023841,0.01270341,0.02167046,0.002210592,0.01328947,0.7567791],"study_design_scores_gemma":[0.00005425286,0.0006471028,0.1169221,0.0001840348,0.00022933,0.001821024,0.0009251684,0.8213586,0.03004386,0.006227969,0.02140503,0.0001816213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3354308,0.0005159287,0.630702,0.0005437807,0.0001334264,0.001082281,0.007861536,0.01360955,0.01012066],"genre_scores_gemma":[0.6325474,0.0003752123,0.3497279,0.0001227306,0.00007247026,0.0005035958,0.01050811,0.0003261742,0.005816309],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004792449,"threshold_uncertainty_score":0.009529114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07425467491629106,"score_gpt":0.3315869000108049,"score_spread":0.2573322250945138,"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."}}