Research On Trading Matching Methods Of Electronic Commerce Platform And Its Applications

E-commerce is developing rapidly in recent years, and playing a more and more important role in people's lives. However, because of too much online information, it is difficult for people to find the product that they like most. They need to spend a lot of time on searching and compareing. With the explosive growth of e-commence, the traditional agency is disappearing gradually, but electronic broker shows a new life. Especially, the electronic broker has played a very important role in aggregating product and improving work efficiency. However, the current electronic broker's search methods should be further improved efficiently.In this paper, the accomplishments are as follows:1.Researched and analyzed the development of Electronic Broker at home and abroad, according to the actual needs of project, and conducting feasibility analysis and design.2.Introduced the framework and related technologies of the system. It based on SSH framework (Struts2+Spring+Hibernate), which is good for rapid development, and has a loosely coupled hierarchy.3.Introduced the basic matching algorithm. Research and analysis the algorithm which have been improved by researchers at home and abroad.4.We put forward a search ranking broker match model to solve the problem of electronic trade matching buyers and sellers with matching principle. First of all, in e-procurement, buyers and sellers input the requirements of the products. On this basis, filtering out the products which have a fat chance to meet the mandatory criteria.Then calculate in accordance with the degree of concerning satisfaction, and list the search results in a descending order. To compare with the multi-properties search method traditionally, the list that ordered by satisfaction of different properties can meet user's requirement better. It effectively saves the user's time of search, compare and communication and improve the efficiency of business operations.5.Taked the example of B2M China-Russian e-commerce platform, we gave the model to illustrate the feasibility and practicality.The source of the data roots in e-commerce platform for China-Russia trade talks platform.To meet the business requirements, we have deeply studied broker match model to help traders to make decisions.