E-Commerce Site Evaluation Based on Neural Networks

Abstract:

With the development of the Internet, e-commerce is developing rapidly. E-commerce website plays an increasingly important role in e-commerce. The site operators need to know the popularity of the site and the site's success and inadequacies, and to find ways to further improve. Website investors need to know the operational status of the site, brand strength and potential for development. Consumers need to understand e-commerce services and product quality, business reputation. These need to be a comprehensive evaluation of the site. This article first analyzes the current state of domestic and international e-commerce site evaluation studies, and then proposes the evaluation method for e-commerce site based on neural network. Relative to the traditional manual and subjective evaluation, this method can greatly extend auto evaluation and reduce the arbitrary of the manual evaluation, thereby increasing the objectivity and accuracy of the evaluation.

• Periodical: Applied Mechanics and Materials (Volumes 263-266)
• Pages: 2678-2681
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.263-266.2678
• Online since: December 2012
• Authors: Yi Wang*, Han Ding, Ge Ging Xu
• Keywords: E-Commerce (EC), Neural Network (NN), Site Evaluation

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