PRIVACY POLICY
Effective Execution Standard: Dynamic implementation, real-time optimization
This general privacy protection policy is applicable to all online cross-border interactive service behaviors, covering the whole process of user data collection, sorting, storage, processing, transmission and elimination. The policy is universal and adaptable to all types of service content without category restrictions. The core purpose of formulating this policy is to standardize internal data processing behaviors, fully protect user personal privacy rights and interests, and build transparent, safe and reliable user service trust. We will to the greatest extent possible maintain the openness and standardization of data processing, and ensure that all operations are within the scope of user legitimate expectations.
1. Basic Definition & Policy Applicability
Personal data mentioned in this policy refers to all identifiable personal characteristic information generated in the process of users using our online services, including but not limited to personal identification information, service interaction information and technical access information. This policy applies to all natural persons who access, browse, register and use our service platform, as well as all data processing links involved in the operation of our online services.
All service behaviors of users on the platform will be deemed as voluntary acceptance of the constraints of this privacy policy. If users do not agree to any clause of this policy, they shall immediately stop using all platform services. We will try our best to ensure that the policy content is fair and transparent, without unfair restrictive terms for users.
2. Standard of Personal Data Collection
We adhere to the legitimate, proper, necessary and transparent data collection principle, and all collection behaviors are based on actual service needs, without blind excessive collection. The specific collection types are divided into active collection and passive collection:
First, active collection data: refers to the personal information actively submitted by users when using core services, including contact information, personalized setting parameters, service demand description, feedback evaluation content and other information necessary for service docking and interaction.
Second, passive collection data: refers to the behavioral data and technical data automatically recorded by the system during user access, including browsing track, operation preference, access time, device parameter, network state and other data. Such data is mainly used for service optimization and security monitoring, and will not be associated with user sensitive private content.
3. Standardized Scenarios of Data Processing & Usage
We strictly classify and standardize the usage scenarios of all user data to ensure that each data processing behavior has a clear and legitimate purpose. The standardized usage scenarios are as follows:
Service Operation Support: Process user basic data to complete user identity verification, service demand response, interactive communication and daily service operation guarantee, ensuring the normal development of platform basic functions.
User Experience Optimization: Analyze user behavioral track data, summarize user usage habits and preference characteristics, optimize platform function layout, content matching logic and service interaction mode, and improve overall service experience.
Platform Security Maintenance: Monitor abnormal access and operation behaviors through technical data, identify malicious operation risks such as illegal intrusion and frequent abnormal access, and maintain the stable and safe operation of the platform.
Reasonable Service Notification: Send service status updates, function optimization reminders, problem processing progress and other necessary notification content based on user contact information, without frequent irrelevant disturbance messages.
4. Cross-Border Data Transmission & Protection Rules
Based on the characteristics of cross-border online services, user data may involve legitimate cross-border transmission in the process of service docking and resource interaction. We will as far as possible adopt encrypted transmission technology and secure transmission channels to ensure the safety and controllability of cross-border data transmission.
In the process of cross-border data transmission, we will strictly control the transmission scope and data volume, only transmit the necessary service data, and shield user core sensitive privacy information. At the same time, we will establish a cross-border data transmission log record mechanism to track and verify the whole process of data transmission, and try our best to avoid data leakage and abnormal transmission risks.
5. User Independent Privacy Rights & Exercise Channels
Users enjoy comprehensive and independent privacy rights in the whole life cycle of personal data processing, including the right to know, access, correct, delete, restrict processing and object. For the legitimate rights and interests application put forward by users, we will provide convenient exercise channels and as much as possible simplify the processing procedures:
Users can independently query the personal data stored by the platform at any time; for incorrect or incomplete information, they can apply for correction and supplement; for invalid and unnecessary service data records, they can apply for deletion and cleaning; for unreasonable data processing behaviors, they can put forward objection and require us to stop the processing behavior.
6. Data Storage & Elimination Mechanism
We will store user personal data in a safe encrypted server environment, and adopt hierarchical storage management for different types of data. For conventional service data, we will try our best to retain it only within the valid service cycle; for data that needs to be retained for platform security and risk prevention, we will carry out isolated encryption management.
When the data no longer has service use value or the user applies for data elimination, we will complete data cleaning and destruction through technical means, andas far as possible ensure that the data cannot be recovered and retrieved, thoroughly eliminate user privacy risks.
7. Policy Iteration & Notification Mechanism
In view of the continuous development of service business and the update of industry service norms, this privacy policy will be dynamically iterated and optimized. We will take platform public display, pop-up reminder and other ways to inform users of policy updates. The updated policy will take effect after public display, and users' continued use of the service will be regarded as acceptance of the new policy terms.