基于回归模型的社交电商平台用户体验因素研究被引量：1

Research on User Experience Factors of Social E-Commerce Platform Basedon Regression Model

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摘要针对社交电商平台搭建过程中消费者需求的多变性及模糊性,提出一种基于回归预测模型的社交体验要素分析方法,并利用调查问卷及SPSS数据仿真进行实证分析,精准定位消费者需求。 Aiming at the variability and ambiguity of consumer demand in the process of building social e-commerce platforms,an analysis method of social experience elements based on regression prediction model is proposed.The questionnaires and SPSS data simulation are used for empirical analysis to accurately locate consumer needs.

作者张云晖雷雯靓李浩宇 ZHANG Yun-hui;LEI Wen-liang;LI Hao-yu(College of Economics and Management,Suihua University,Suihua 152000,China;College of Agriculture and Water Conservancy Engineering,Suihua University,Suihua 152000,China)

机构地区绥化学院经济管理学院绥化学院农业与水利工程学院

出处《唐山师范学院学报》 2020年第6期78-81,共4页 Journal of Tangshan Normal University

基金黑龙江省大学生创新创业训练计划项目(201810236026) 黑龙江省艺术科学规划课题共建项目(2019D037) 黑龙江省教育厅基本科研业务费项目(KYYWF10236180212) 绥化市社会科学科研课题(SHSK2017014)。

关键词社交电商用户需求回归预测模型 SPSS数据仿真平台构建 social e-commerce user demand regression prediction model SPSS data simulation platform construction

分类号 TP391.9 [自动化与计算机技术—计算机应用技术]

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