Research And Design Of Intelligence Search Engine Based On E-commerce Platform

Search Engine is a system which searches the internet for certain information by applying particular computer programs and base on certain strategies,and then organizes and processes this information to provide searching service for users.Like e-commerce,it serves as an independent network service and is quite popular among netizens.In the coming few years,one of the major features of e-commerce websites should be their outstanding searching function.There is a significant academic and commercial value in combining the development of e-commerce and search engine. The present paper analyses the problem of searching business information in E-Commerce, and proposes a search method using BP neural network with Internet source through artificial intelligence(AI)and information retrieval(IR)theory.And explore how to apply intelligent search engine in the field of e-commerce.First,it downloads lots of E-Commerce information in the internet,and then using the segment algorithm to segment the word,at last,we using BP Neural Network to sort the E-Commerce information.The major contents and findings are as follows:1.Search for the relevant data and know about the difficulties and hot issues in the field of search engine from home and abroad.2.Study the mainstream classification algorithms,use WINDOWS2003 system as the platform,and propose the BP Neural Network Search Engine classification algorithm.3.Based on the algorithm proposed in this paper,use Microsoft Visual C#.Net development tools to design and realize the intelligent search engine model which is based on WINDOWS operation system.