Information Processing Method for Social Networking Tools
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing information processing methods in social networking tools lead to inefficient and resource-intensive user operations and server interactions, resulting in excessive system resource usage and network bandwidth waste due to frequent interactions.
Innovation Solution
An information processing method that displays a selectable command on a User Equipment (UE) UI, sends a non-text request to a server, and upon receiving a supporting message, triggers the display of random information through user operations, minimizing user input and reducing interactions by automatically drawing and displaying specified information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If information is shared and processed using existing social networking tools with multiple processing modes, then information sharing capability is improved, but system resource usage increases and processing efficiency decreases
Solution Approach 1:
The patent extracts and separates the core information processing function from the complex social networking processing modes. By implementing a dedicated information processing system that handles specific tasks (receiving information, determining processing mode, executing processing), it removes the overhead of multiple processing modes while maintaining information sharing capability.
Solution Approach 2:
The information processing method is segmented into distinct functional modules: information receiving module, processing mode determining module, and information processing module. This segmentation allows each module to perform its specific function efficiently without the complexity of handling multiple processing modes in a unified system.
2Adaptability or versatility
If user operations at UE are increased to enable more information sharing and online processing, then information processing capability is improved, but interaction frequency between UE and server increases, consuming excessive system resources and network bandwidth
Solution Approach 1:
The UE is empowered with local processing capabilities to determine processing modes and execute information processing operations locally. This self-service approach reduces the need for frequent server interactions, as the UE can handle many processing tasks autonomously based on pre-determined modes, thereby conserving network bandwidth and system resources.
Solution Approach 2:
The system pre-determines processing modes for different types of information before actual processing occurs. By establishing processing modes in advance, the UE can quickly execute appropriate processing operations without requiring real-time server guidance, reducing interaction frequency and resource consumption.
Data Source
AI summary
A first selectable command is displayed on a User Interface (UI) of the UE, and a first request is sent to a server via the UI, such that the server returns a first message of a non-text type; the first message returned by the server is received, and it is determined that the first message supports display of specified information; first operation applied on a result displayed by the first message is received, and a second request is sent, via the first operation, to the server to draw random information; in response to the first operation, display of the specified information is triggered, and the random information drawn from the server is received.