User Data Update Mechanism for Task Group Verification
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Solution Overview
Problem
Existing mechanisms for updating user data lack security and fail to promote business growth and support user relationship chains, particularly in online environments where task completion is concerned.
Innovation Solution
A method and apparatus that combine business task and conversation task data to determine user data updates, using flow data to assess task completion and update user data volumes, thereby enhancing security and promoting user relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing mechanisms are used to update user data based on business task completion, then task completion tracking is simple, but data security is poor and cheating behaviors occur
Solution Approach 1:
The patent merges business task completion verification with conversation task completion verification into a unified task group. Both tasks must be completed together to update user data, making it difficult for users to cheat by only completing the business task without actual conversation engagement.
Solution Approach 2:
The system implements feedback mechanisms by tracking conversation flow data (such as conversation duration, participant count, and conversation quality) to verify genuine user engagement. This feedback loop ensures that users actually perform the intended actions rather than attempting to bypass the system.
2Productivity
If only business task completion is tracked, then updating user data is efficient, but user relationship development is not promoted
Solution Approach 1:
The patent combines business objectives with social interaction objectives by requiring both business task completion and conversation task completion within a task group. This dual requirement promotes user relationship development while maintaining efficient data updates through automated verification.
Solution Approach 2:
The task group mechanism serves multiple functions simultaneously: it verifies business task completion, promotes user conversation and relationship building, prevents cheating behaviors, and updates user data efficiently. This multi-functionality resolves the contradiction between efficiency and versatility.
3Ease of manufacture
If traditional task verification is used, then implementation is simple, but network resource utilization is low
Solution Approach 1:
The system uses feedback from conversation flow data (conversation duration, participant engagement, interaction quality) to verify task completion authenticity. This feedback mechanism ensures genuine user engagement and maximizes network resource utilization by preventing wasted resources on fraudulent activities.
Data Source
AI summary
Method, apparatus, and communication systems of updating user data are provided. Business flow data and conversation flow data of a first user are obtained. Whether the first user has completed a preset first business task is determined according to the obtained business flow data, and whether the first user has completed a preset first conversation task is determined according to the obtained conversation flow data. After determining that the first user has completed the preset first business task and the preset first conversation task, a user data update volume corresponding to a first task group is obtained and updated. The introduction of the task group can help to prevent cheating behaviors, and can help to improve security of updating user data. The introduction of the conversation task can help to improve utilization of network resources, and help to promote business growth and better precipitation of user relationship chains.