{"id":"W2349634443","doi":"","title":"Personalization Recommendation for New User on Commerce Web","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Personalization; World Wide Web; Collaborative filtering; E-commerce; Recommender system; Web navigation; Commodity; Web mining; User information; The Internet; Web page; Information system","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":[0.0005581577,0.0004538346,0.0006271785,0.001316907,0.000536294,0.0007004674,0.0005998997,0.0006748951,0.005013813],"category_scores_gemma":[0.001403102,0.0002271906,0.0006564364,0.0008942662,0.0001716545,0.001566778,0.000333708,0.0006607896,0.001914838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004313198,"about_ca_system_score_gemma":0.0004797433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008480066,"about_ca_topic_score_gemma":0.01685375,"domain_scores_codex":[0.9993698,0.0001456884,0.00003084491,0.0001472716,0.0002481284,0.00005828437],"domain_scores_gemma":[0.9994387,0.0001139436,0.00003241059,0.0001222962,0.000242268,0.0000504418],"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":[0.0005187097,0.00102732,0.02621533,0.0003075728,0.0003321335,0.000269649,0.0005939102,0.01707061,0.02127275,0.01085642,0.0538507,0.8676848],"study_design_scores_gemma":[0.0001965528,0.0006997962,0.03177373,0.00009840626,0.0005914171,0.0009766468,0.0005683172,0.8239178,0.02482077,0.01302714,0.1031155,0.0002138352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2482881,0.003268017,0.6981518,0.001509996,0.000429308,0.0006579914,0.001347564,0.006857382,0.03948975],"genre_scores_gemma":[0.6498211,0.002232733,0.3092691,0.0004321615,0.0003092103,0.0003052977,0.002442466,0.0002942542,0.03489375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008480066,"threshold_uncertainty_score":0.01686144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02558314725175122,"score_gpt":0.2962754491305887,"score_spread":0.2706923018788375,"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."}}