Journal of Northeastern University ›› 2008, Vol. 29 ›› Issue (2): 185-188+192.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Searching business information with Hopfield neural network in electronic commerce environment

Wang, Zheng (1); Wang, Qing (1); Wang, Ding-Wei (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2008-02-15 Published:2013-06-22
  • Contact: Wang, Z.
  • About author:-
  • Supported by:
    -

Abstract: 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.

CLC Number: