Research On Merchant Search Technology Based On Mobile Agent

Along with the development of networking technology,e-commerce, as a new kind of enterprise manage method, has becoming to be mature gradually. Intelligent Mobile Agent-based e-commerce systems, which have overcome the shortcomings of traditional e-commerce technology, have great prospect. The commodity search is most important to e-commerce for activity smoothly and healthy development,.The highly effective commodity search system is able to help consumers to find products they most need. To a certain extent, the commodity search's success is deciding the entire e-commerce system's success.Through analysing the characteristics of the Mobile Agent-based e-commerce system and the commodity search's especial requests, establishe an Mobile Agent-based e-commerce search model, then introduces the system'work-flow in detail, and illustrate the key technologies in the model.Through in-depth analysis of search technology of Mobile Agent-based e-commerce. and combines with other migration strategies, a new Mobile Agent Migration Strategy. Present a new migration algorithm and give a quality assessment method for the server businesses, and the process of moving the negotiations between the Agent and the business in the migration.Process the results of search. First of all, preprocessing the information of results, the results information is transformed to terms; then proposed feature selection method, to select characteristic words form the terms and term weighting; Finally,introduces the process of classification of results and the method to sort the results.Finally,this paper introduce the realize of the search model, and the testing,analysis of every function.This system is realized in Windows XP environment,using Java language,utilizes Smart Market e-commerce system based on Aglets platform researched by IBM.