A Research On Buy Side Pricing Of SME From The Perspective Of Third-Party B2B Platform Based On Ant Colony Algorithm

Product price has a direct influence on both product sales and market competition. The current research on pricing of B2B e-commerce enterprise is very few. Some rare research on pricing of small and medium-sized enterprises (SME) is qualitative analysis from the perspective of economics. From the perspective of third-party B2B platform, this thesis analyzes pricing factors of SME from qualitative and quantitative angles. And try to put forward a value-added service based on data mining that platforms support SME in pricing.After reading lots of domestic and foreign literature, and investigating domestic B2B websites, this thesis analyses the pricing environment of the platform from the aspects of macro and micro environment, and defines the current status and deficiency of product pricing research. Investigate the service of B2B e-commerce, the advantage of platform applying big data technology and the trading system of platform. Then construct the pricing value-added service model of B2B platform. And establish index system based on analyzing the factors of buy side pricing.This thesis expounds the necessity and feasibility of introducing ant colony clustering algorithm into the platform pricing analysis model, and points out the shortcomings of the existing ant colony clustering algorithm. Improve ant colony clustering algorithm based on information entropy in three aspects, basic model, mobile strategy and isolated point processing strategy. Then this thesis puts forward improved single ant-based clustering algorithm. With multithreads computing, each thread is equipped with a type of ant colony which has different speeds. The queen of ant assembles the results of single ant-based clustering with hyper-graph matrix to form a similar matrix. In the iterative process, the ant colony select data set with two strategies which are the cycle strategy and the least isolated point strategy.Finally, the thesis does simulation experiment on improved ant clustering algorithm, verifies the feasibility of pricing value-added service model. And make suggestions for SME on B2B platform to improve pricing ability.