Research on Consumer Satisfaction Model of Electronic Commerce Based on BP Neural Network
AUTHORS
Haitao Xin,School of Computer and Information Engineering, Harbin University of Commerce, China
Yanrong Zhang,School of Computer and Information Engineering, Harbin University of Commerce, China
ABSTRACT
Starting from classification of satisfaction model, this paper determined the influence of essential factors like product quality, product price, product performance and service quality, distribution efficiency, etc. on consumer satisfaction of electronic commerce by utilizing natural language understanding technology, through the analysis to post purchase evaluation of electronic commerce. And then, an evaluation model for customer satisfaction of electronic commerce enterprises was established on the basis of BP neural network, and implementation, training and verification were carried out to the created network model by utilizing neural network tool box, which verification results showed that this model could obtain relatively accurate evaluation results.
KEYWORDS
Neural network, Electronic commerce, BP neural network
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