摘要
网上购物越来越成为大众的消费方式,其中C2C经营模式下会出现同种商品在不同店铺进行销售的情况,用户很难根据繁杂的数据得到商品的实际信息,这可以通过对不同店铺的同种商品在多种指标下进行综合评价来解决。研究了在C2C模式下根据店铺评价和商品信息对商品可购买度作出评价,鉴于综合评价是一个受多因素影响的评价,因此采用灰色关联分析法来评价商品的可购买度。所提出的针对可够买度的评价模型及其算法具有实用价值。
Online shopping has become a more and more popular consumption mode. The situation that the same goods are sold in different shop will appear under C2C management mode. It is difficult for customer to judge according to the complicated information, which can be solved by comprehensive evaluation for different stores. This paper will be in C2C mode according to the shop score and commodity information for goods can buy a degree evaluation, In view of multiple factors influencing evaluation, grey relational evaluation is applied. The results show that the purchase degree evaluation model and its algorithm has very practical significance.
出处
《计算机时代》
2013年第5期25-27,共3页
Computer Era
关键词
网上购物
灰关联评价方法
评价模型
店铺评价
C2C
购买度
online shopping
grey relational evaluation method
evaluation model
shop score
C2C
purchase degree
