眼动行为数据挖掘在提取网上购物决策因子中的应用
发布时间：2019-05-13 23:37
【摘要】：为研究眼动行为数据挖掘在提取网上购物决策因子中的应用,首先通过客户体验管理(Customer Experience Management,CEM)对客户网上购物决策因子进行初步分析和过滤;然后根据大量客户网上购物时的人机交互行为数据,应用马尔科夫链算法预测其相关行为,并结合行为分析进一步得到其重要影响因子;最后通过眼动行为数据挖掘,确认影响网上购物的主决策因子,并获取各主决策因子的权重.实验证明由眼动分析获取的网上购物主决策因子及其权重更加有效.
[Abstract]:In order to study the application of eye movement behavior data mining in the extraction of online shopping decision factors, first, the customer experience management(CEM)is used to analyze and filter the decision-making factors of online shopping. Then, based on the data of man-machine interaction behavior of a large number of customers online shopping, the Markov chain algorithm is applied to predict their related behaviors, and the important influencing factors are further obtained by combining the behavior analysis. Finally锛，
本文编号：2476266
[Abstract]:In order to study the application of eye movement behavior data mining in the extraction of online shopping decision factors, first, the customer experience management(CEM)is used to analyze and filter the decision-making factors of online shopping. Then, based on the data of man-machine interaction behavior of a large number of customers online shopping, the Markov chain algorithm is applied to predict their related behaviors, and the important influencing factors are further obtained by combining the behavior analysis. Finally锛，
本文编号：2476266
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