电商产品优先级综合评价模型及其应用  

Comprehensive Evaluation Model of E-Commerce Product Priority and Its Application

作　　者：朱文佳[1] 张雨晴 陈雪平 汪红霞[3] ZHU Wen-jia;ZHANG Yu-qing;CHEN Xue-ping;WANG Hong-xia(Fundamental Education Department,Changzhou Technician College Jiangsu Province,Changzhou 213032,China;School of Mathematics and Physics,Jiangsu University of Technology,Changzhou 213001,China;School of Statistics and Data Science,Nanjing Audit University,Nanjing 211815,China)

机构地区：[1]江苏省常州技师学院基础部,江苏常州213032 [2]江苏理工学院数理学院,江苏常州213001 [3]南京审计大学统计与数据科学学院,江苏南京211815

出　　处：《数学的实践与认识》2025年第2期231-240,共10页Mathematics in Practice and Theory

基　　金：江苏理工学院中吴青年创新人才支持计划。

摘　　要：建立因子分析模型对产品选款的优先级进行测度,从“多多参谋”商品排行榜上抽取2021年单月书架销量排名前120位产品,根据价格、产品销售状况、上榜时长、店铺评价四个维度,选取8个指标进行处理数据分析.利用箱线图对产品销售数据进行了异常值检验,然后建立基于因子分析的产品综合评价模型.采用主成分法对载荷矩阵进行估计、最大方差旋转法进行因子旋转,同时利用回归估计法对因子得分进行测算,建立产品综合评价得分模型,进行优先级排序,再结合生命周期,应用灰色预测模型,给出销量预测,可以为线上店铺提供一定参考.In this paper,a factor analysis model is established to measure the priority of product selection.The top 120 bookshelf sales in a single month in 2021 are selected from the"Duoduo staff" commodity ranking list.According to the four dimensions of price,product sales status,listing time and store evaluation,eight indicators are selected for data processing and data analysis.The outliers of product sales data are tested by box graph.Then,the product comprehensive evaluation model based on factor analysis is established.The principal component method is used to estimate the load matrix and the maximum variance rotation method is used to rotate the factor.At the same time,the regression estimation method is used to calculate the factor scores and establish the product comprehensive evaluation score model,and finally to provide a model reference for online stores.

关 键 词：综合评价 箱线图 主成分 因子分析 灰色模型 

分 类 号：F42[经济管理—产业经济]