With the continuous development of Internet technology, more and more fields are beginning to use Internet technology to improve their business construction. Moreover, in terms of e-government construction, introducing the Internet technology into e-government work at all levels is also an important content, and the Party Central Committee has proposed a series of major decisions such as network power and “Internet +” to accelerate the process of e-government informatization. Meanwhile, big data virtualization technology and access control technology are used to break through e-government data sharing barriers to realize virtual integration and trusted sharing across e-government data and support multi-departmental, crosslevel, and cross-network data security interactive processing for e-government business collaboration. Besides, the multi-source circulation and on-demand access of cross-departmental e-government data are realized to break data barriers, form data transmission links, and create a model for exchanging and sharing e-government data. Through the exchange and sharing of e-government data, the barrier-free flow of information can be achieved and the efficiency of e-government business handling can be improved as well.
In order to improve the authenticity and reliability of the evaluation data of regional e-commerce for reflecting the regional credit level in the business platform, this paper proposes a regional credibility evaluation model based on big data, which integrates the behavior characteristics of regional economic development and the judgment of the credibility of comments. Based on the analysis of regional economic behavior, the features include regional activity, regional reliability and regional contribution, while the credibility of comments is calculated based on the quality of regional text. The experimental results show that this method can quickly screen out the high reliability region, and can effectively alleviate the cold start problem. In the regional credibility evaluation model, two groups of features are proposed: regional behavior feature and regional text quality feature. The credibility of regional behavior, the credibility of regional social relations and the quality of regional comments are comprehensively evaluated. These two sets of features solve the problems of incomplete features and data cold start in the evaluation model of regional credibility.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.