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| Evolution of Intelligent Governance Service: From the Perspective of User Behavior Data |
| Hu Guangwei1,2, He Huanglan1,2 |
1.School of Information Management, Nanjing University, Nanjing 210023
2.Government Data Resources Institution of Nanjing University, Nanjing 210023 |
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Abstract In the evolution of e-government services, intelligence has become a key factor that drives improvements in service quality. The intelligence of e-government services not only manifests at the technological level but also concerns the deep understanding of and timely response to user needs. However, the current e-government service system generally lacks insight into the deep needs of users. This may be partially because they lack the collection and analysis of user behavior data, and it is difficult to predict the personalized and dynamic needs of users in a forward-looking manner. Based on this, an analysis framework of internal and external user behavior of e-government services is constructed to support the systematic integration and comprehensive analysis of internal and external user behaviors. On this basis, the principles of using user behavior data to support the intelligence of governance services are analyzed, and intelligent information push services are selected as an application case to reveal the fundamental and important roles of user behavior data in the intelligence of governance services. The study emphasizes that when developing and applying user behavior data, it is necessary to clear target norms, solve the problems of black box and algorithmic bias, focus on maximizing public value, balance data openness and privacy protection, play the role of “algorithm governance,” strengthen the interconnection of data units, and pay attention to policy analysis and related data applications to provide a reference path for the intelligent evolution of governance services.
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Received: 02 March 2025
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