Searching Business Information with Hopfield Neural Network in Electronic Commerce Environment
Zheng Wang, Qing Wang, Dingwei Wang · 2007
In traditional commercial environment, business information retrieval is limited in searching scope and quality. As enterprise turns to electronic commerce (EC) environment, the quality of business information on supply and sale directly affects the level of enterprise operations. This paper analyses the problem of business information retrieval in EC environment, and proposes a Hopfield neural network based business information retrieval model using Internet information resources by means of Artificial Intelligence (AI) and Information Retrieval (IR) theory. Through generating extended query terms by Hopfield neural network and ranking the results, the proposed model can expand the searching scope and increase the precision of retrieval, so as to provide valuable business information for enterprises.