Information collection and protection strategy based on platform competition model for advertiser and user

Abstract

In the era of digital economy, people pay more attention to the protection of users' personal information. The smart goods platform and advertisers who advertise on this platform understand the behavior and preferences of users by collecting users' personal information and undergoing professional processing and analysis. And accordingly, to provide users with corresponding personalized products and services, while improving consumer satisfaction and loyalty, you can obtain higher profits. However, the collection, processing and use of personal information by smart goods companies have raised privacy concerns among users. By establishing a model of the participation of the smart commodity platform, users and advertisers, analyze the amount of user data collected by the smart commodity platform and the degree of efforts made by the smart commodity to protect data for maximizing the interests of the three parties. Through balanced analysis and static analysis, it can be obtained that the total utility of the user increases first and then decreases. Under the premise that the smart commodity platform makes efforts to ensure the security of users' personal information, the profit of advertisers increases with the increase of users. As collecting too much user data can lead to the loss of some users and collecting too little amount of user data can lead to the platform losing some revenue from advertising. Therefore, smart goods platforms should collect a certain amount of user data and make certain efforts in data protection in order to maintain the balanced rights and interests of important stakeholders such as advertisers, users and themselves.