电子商务中基于Hopfield神经网络的货源信息搜索方法

对电子商务环境下货源信息搜索问题进行了分析研究,并以Internet网络为信息源,采用信息检索和人工智能相关技术,提出了基于Hopfield神经网络的货源信息搜索方法.该方法将货源信息的特征保存在Hopfield神经网络的连接权中,根据用户输入的查询词,通过网络的运行,自动生成一组查询扩展词,利用这组查询扩展词在通用搜索引擎中进行扩展搜索,并分析排序搜索结果.此方法扩大了货源搜索范围,提高了搜索精度,为企业提供了有价值的相关货源信息.

Searching Business Information with Hopfield Neural Network in Electronic Commerce Environment

Analyses the problem of searching business information in electronic commerce (EC) environment, and proposes a search method using Hopfield neural network with Internet as information source through artificial intelligence (AI) and information retrieval (IR) theory. In this method the features of business information are represented in terms of connection weights. A set of extended query terms are generated automatically by Hopfield neural network in accordance with the query keywords the users input. Searching general-purpose search engine (GSE) with those extended query terms and ranking the results, the proposed method can expand the search scope and improve the search precision so as to provide valuable business information for enterprises.