基于概率回归模型和K-最近邻的电子商务个性化推荐方案被引量：11

Personalized Recommendation Scheme Based on Probabilistic Regression Mode and K-Nearest Neighbor in E-Commerce

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摘要针对电子商务中个性化推荐问题,提出一种基于概率回归模型和K-最近邻的电子商务个性化推荐方案.实验结果表明,该方案能够准确为客户推荐所需的商品. For the issues that the personalized recommendation in e-commerce,apersonalized recommendation scheme based on probabilistic regression mode and K-nearest neighbor in e-commerce is proposed.Experimental results show that the proposed scheme can be accurate for customers to recommend the required goods.

作者王伟徐平平王华君黎远松

机构地区无锡太湖学院工学院东南大学信息科学与工程学院四川理工学院计算机学院

出处《湘潭大学自然科学学报》 CAS 北大核心 2016年第1期97-100,119,共5页 Natural Science Journal of Xiangtan University

基金江苏省高校自然科学研究项目(14KJB520036)

关键词电子商务个性化推荐概率回归模型 K-最近邻 e-commerce personalized recommendation probabilistic regression mode K-nearest neighbor

分类号 TP391 [自动化与计算机技术—计算机应用技术]

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