基于点击流与PROMETHEE多属性决策法的电子商务消费者购买意愿预测

何锐超; 刘洪伟; 高鸿铭; 范梦婷; 詹明君

doi:10.12052/gdutxb.200029

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基于点击流与PROMETHEE多属性决策法的电子商务消费者购买意愿预测

更新时间：2026-05-27

- 基于点击流与PROMETHEE多属性决策法的电子商务消费者购买意愿预测
- E-commerce Consumer Purchase Intention Prediction Based on Clickstream and PROMETHEE
- 广东工业大学学报 2020年37卷第6期页码：32-40
- 作者机构：
  
  广东工业大学管理学院,广东,广州,510520
- 作者简介：
  
  何锐超(1994–)，男，硕士研究生，主要研究方向为信息系统与商务智能
  詹明君(1994–)，男，博士研究生，主要研究方向为信息系统与商务智能，E-mail：zhanmj_gdut@163.com
- 基金信息：
  
  国家自然科学基金资助项目(71671048)
- DOI：10.12052/gdutxb.200029
  中图分类号： F713.3;C934
- 网络首发：2020-11-02，
  
  纸质出版：2020
- 稿件说明：
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何锐超, 刘洪伟, 高鸿铭, 范梦婷, 詹明君. 基于点击流与PROMETHEE多属性决策法的电子商务消费者购买意愿预测[J]. 广东工业大学学报, 2020, 37(6): 32-40.

He Rui-chao, Liu Hong-wei, Gao Hong-ming, et al. E-commerce Consumer Purchase Intention Prediction Based on Clickstream and PROMETHEE[J]. 2020, 37(6): 32-40.
何锐超, 刘洪伟, 高鸿铭, 范梦婷, 詹明君. 基于点击流与PROMETHEE多属性决策法的电子商务消费者购买意愿预测[J]. 广东工业大学学报, 2020, 37(6): 32-40. DOI： 10.12052/gdutxb.200029.

He Rui-chao, Liu Hong-wei, Gao Hong-ming, et al. E-commerce Consumer Purchase Intention Prediction Based on Clickstream and PROMETHEE[J]. 2020, 37(6): 32-40. DOI： 10.12052/gdutxb.200029.

摘要

在电子商务环境下

充分了解消费者的兴趣变化过程并预测其购买意愿是个性化推荐系统需要解决的问题，因此具有巨大潜在信息的点击流数据因其易获性及预测的准确性得到了广泛的研究与应用。为了挖掘用户点击行为所反映消费者的兴趣变化过程并预测消费者的购买意愿

通过点击流数据

基于兴趣漂移理论

采用偏好顺序结构评估法(Preference Ranking Organization Methods for Enrichment Evaluations，PROMETHEE)的多属性决策方法建立有效的模型进行测量与预测。结果建立了包括3个一级指标和8个二级指标构成的多会话消费者购买意愿评价体系

为消费者购买意愿预测提供了一种实用的评价方法。

Abstract

Under the environment of e-commerce

fully understanding the consumer’s interest change process and predicting their purchase intention are the problems that personalized recommendation systems need to solve. To solve this problem

clickstream data with huge potential information has been widely studied and applied due to its availability and accuracy of prediction. Therefore

in order to mine the consumer’s interest change process reflected by the user’s click behavior and predict the consumer’s purchase intention

click stream data is used

based on interest drift theory

to establish an effective model for measurement and prediction on multi-attribute decision-making method (MADM) of preference ranking organization methods for enrichment evaluations (PROMETHEE). As a result

a multi-session consumer purchase intention evaluation system consisting of three primary indicators and eight secondary indicators is established

providing a practical evaluation method for consumer purchase intention prediction.

关键词

Keywords

references

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