Research Of Alibaba E-Commerce Platform's Quality Evaluation System

With the small and medium-sized informationization processed, SMEs will have more choices on third-party of B2B e-commerce platform as a marketing tool. The information on B2B e-commerce platform is more and more large. In the facing of much large of information, ordinary users need to spend a lot of time to search and select relevance information. Ordinary users need e-commerce platform which can put the most relevant results on the top surface, so that users can save time on the search filter. Domestic e-commerce providers, who can put the information to sort to do well, will be able to attract more users. Improving the quality of e-commerce platform, setting up quality evaluation system has become a business e-commerce platform urgent problem to be solved.Based on the search engine principles and characteristics of B2B users, thesis builds a B2B e-commerce platform for the quality evaluation system. Quality evaluation system contains two types of evaluation methods: a single test and comparison test. Each method has been adopted artificial tagging methods. Single test is to judge the correlation between user's search terms and search results. Advantages of this method are able to view a search word and it corresponds to each of the results quality; disadvantage is the only view the relationship between each word, not view each search results pages' correlation. Comparison test is often used to compare two versions, which are algorithms before and after the upgrade. It is a supplementary to the single test.This thesis selects the domestic famous B2B e-commerce company Alibaba e-commerce platform to do the study. Evidence proves that this set of quality evaluation system has a strong practical.