{"id":"W4387310124","doi":"10.3390/a16100467","title":"A Survey of Sequential Pattern Based E-Commerce Recommendation Systems","year":2023,"lang":"en","type":"article","venue":"Algorithms","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; University of Windsor","keywords":"Computer science; Recommender system; Collaborative filtering; Novelty; Scalability; E-commerce; Domain (mathematical analysis); Sequential Pattern Mining; Clickstream; Data mining; Information retrieval; Artificial intelligence; World Wide Web; Database; The Internet","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":[0.001481114,0.001196837,0.001891411,0.003208863,0.0007033897,0.001699159,0.001945989,0.001261075,0.003485217],"category_scores_gemma":[0.004144082,0.0006813724,0.00147644,0.008424214,0.0002782792,0.002396963,0.0005756044,0.000888979,0.002763166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006347452,"about_ca_system_score_gemma":0.001380835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00959451,"about_ca_topic_score_gemma":0.007342746,"domain_scores_codex":[0.9984157,0.0002054532,0.0002495711,0.0003820812,0.0006565737,0.00009067904],"domain_scores_gemma":[0.997992,0.0007762498,0.000122922,0.0002616858,0.0007978633,0.000049336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001586076,0.0001745792,0.004720304,0.003196666,0.0003255255,0.0001514265,0.00009650151,0.009984577,0.002748696,0.006437481,0.01395494,0.9580507],"study_design_scores_gemma":[0.0001885651,0.001298968,0.02438027,0.002528709,0.001526047,0.005147435,0.0004048833,0.4541987,0.0137796,0.03122901,0.4649044,0.0004134461],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.03320635,0.3772728,0.5551087,0.00202471,0.001270276,0.0008477114,0.002890544,0.003083654,0.02429527],"genre_scores_gemma":[0.1753364,0.349978,0.4511162,0.001046733,0.001410648,0.0006383164,0.00571098,0.0001893836,0.01457341],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00959451,"threshold_uncertainty_score":0.0190773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07878952732151877,"score_gpt":0.3098257615905473,"score_spread":0.2310362342690285,"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."}}