{"id":"W2099602121","doi":"10.1109/nafips.2007.383919","title":"Neighbourhood Sets based on Web Usage Mining","year":2007,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Computer science; Hyperlink; World Wide Web; Web mining; Web intelligence; Web modeling; Web standards; Neighbourhood (mathematics); Data Web; Web analytics; Web page; Web mapping; Link analysis; Data science; Information retrieval; Mathematics","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":[0.002235179,0.0004862438,0.001600327,0.005598174,0.001177461,0.001896721,0.001920121,0.001133086,0.001968748],"category_scores_gemma":[0.01815075,0.0005387849,0.001522273,0.004624998,0.001366746,0.003072293,0.00217388,0.001312691,0.0005246834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227117,"about_ca_system_score_gemma":0.000705995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006145118,"about_ca_topic_score_gemma":0.005823489,"domain_scores_codex":[0.9971577,0.001133292,0.000232825,0.0005604737,0.0007718457,0.0001438467],"domain_scores_gemma":[0.9905847,0.006478887,0.0006625891,0.001042858,0.0009631112,0.000267831],"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":[0.0004312671,0.0003485466,0.01930698,0.000549913,0.0005780975,0.0004802859,0.001125035,0.3260629,0.004290365,0.3003496,0.004929492,0.3415475],"study_design_scores_gemma":[0.00002027819,0.00007047322,0.004127702,0.00007393436,0.00006915985,0.0001873591,0.0001209154,0.8459304,0.001182762,0.1447947,0.003366056,0.00005624361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06092902,0.0007682185,0.9322155,0.0003007535,0.00008166324,0.0001514841,0.0006294323,0.0004900178,0.004433942],"genre_scores_gemma":[0.6720021,0.001011574,0.32013,0.0001385605,0.0001751183,0.0004157241,0.00178696,0.0001152019,0.004224765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006145118,"threshold_uncertainty_score":0.01221871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02285393332712085,"score_gpt":0.2728286894850789,"score_spread":0.249974756157958,"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."}}