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Jun Wang1, Rongjie Hu1

  • 1School of Mathematics & Statistic, Changchun University of Technology, Changchun, China.

Heliyon
|October 10, 2024
PubMed
概括

本研究介绍了一种两阶段的金融产品推算法 (CPCF-TSP),该算法使用用户人口统计学和人气来提高准确性. 它解决了用户选择流行商品的倾向,增强了金融产品的发现.

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