The Method Research On Search Engine Optimization Of Crowdfunding Platform

Search Engine Optimization is a technology which can improve the site traffic and search engine ranking by analyzing the natural ranking rules of search engine and a series of optimization techniques.With the explosion of the Internet finance concept,there has been a lot of competition among crowdfunding platforms in recent years.The demand of the development of crowdfunding platforms and the research on search engine optimization methods of the platform is growing.In current domestic the research on the search engine optimization is in the ascendant stage.The thesis focuses on the core-keyword selection method of search engine optimization.By comparing the effect on search engine optimization before and after applied the "comprehensive index evaluation method" to the platform,and verify the effect before and after the optimization and to come to the conclusions.The thesis analyzes the present research situation of the crowdfunding platform,the search engine optimization and the factors that influence the ranking of search results,and points out the necessity of optimizing the research of keyword selection in search engine optimization and puts forward the technical research route of this kind of problem.In order to verify the effectiveness of the search engine optimization method,the thesis builds up the crowdfunding platform which provides platform support for the next method.The thesis discusses the principle and implementation steps of the existing keyword selection method "Key Index Evaluation Method",and analyzes the change of the search volume of the keyword around the same subject through the correlation analysis and calculates the contribution value of all relevant keywords to the search volume.The keyword which can bring high flow for the crowdfunding platform will be selected by the experiment evaluation.The thesis analyzes the shortcomings and problems of existing methods,puts forward the idea and algorithm steps of optimizing the method of keyword optimization based on hierarchical clustering.To compares the different system clustering methods by MATLAB analysis tool,and uses the one-way variance test method to cluster the results of the effectiveness of the analysis,and finally with the combination of "comprehensive index evaluation method" to improve the selection of keywords and select the corresponding keywords by experience.Finally,to make a comparison of effect before and after that the key words are selected to improve the platform.With the evaluation index,such as flow comparison chart,the page weight value to test and verify the effectiveness of the proposed method of improvement.And finally draws up some practical conclusions on the method of search engine optimization.