Online Reputation Management Systems, E-commerce Businesses Personalized Recommendation Services Research

E-commerce has changed the traditional business model. With the development of the Web technology, enterprises can more easily communicate with customers, E-commerce webs can complete business deals within the required time. But the E-commerce business websites can not properly solve the problem of the customers'long purchasing time, if we can list the information of goods in front of the customers, the purchasing time will be greatly reduced, and the server of the E-commerce websites will be used much more efficiently, thus, the recommendation service emerge as such requires.At present, the E-commerce service model, which is based on B2C, has be transformed from the stage of information browsing to the stage of information recommending based on buyers'credit information. The online reputation management system not only solves the credit assessing of the buyers, but also provides a much broader vision for the personalized recommendation service of the E-commerce websites. Combining the online credit information and Commodity information, backed by the online reputation management system, this thesis will study the online personalized recommendation service and provide the framework and content of the customized recommendation service from the perspective of emperical study. With case of"taobao.com"as emperical analysis, this thesis will also discuss some tactics for personalized recommendation service and with the prices, buyers'addresses, postage and delivery speed considered, the author will prove the advantages of the personalized recommendation service through correlation analysis.Presently, neither domestic nor overseas scholars have studied personalized recommendation service and functions thoroughly and systematically, and this is an interdisciplinary field, which is related to computer technology,database technology,modern management and many other subjects. Research on this field is believed to provide suggestions on how to explain the lag of the E-commerce theories with the theories of traditional economics and management. This thesis attempts to improve the personalized recommendation service, and propose a number of tactics on building the online credit management system service of the E-commerce business.This thesis puts forward some feasible means and approaches for the E-commerce personalized recommendation service, and taking the famous E-commerce business of'taobao.com'as an example, we also empirically analyze it in order to offer suggestions and samples to the practice of the E-commerce websites building.