Service Recommendation Interface for Mobile App Precision
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Solution Overview
Problem
Users face challenges in rapidly finding desired services on mobile terminals due to low service recommendation precision and interference with normal communication, as existing technologies fail to provide efficient and precise service discovery.
Innovation Solution
A service processing method and apparatus that obtain predefined services from a backend server, update the service usage interface, and present information prompts for used services, recommending associated services without dedicated push messages, thus enhancing service recommendation precision and minimizing communication interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If backend server periodically pushes service information to mobile terminal applications, then users can receive service recommendations, but service recommendation precision is low because it cannot be ensured that pushed services are always desired by users
Solution Approach 1:
The system establishes a feedback loop where the mobile terminal reports service usage status to the backend server. The server uses this feedback to update user profiles and refine service recommendations, thereby improving recommendation precision over time based on actual user behavior rather than blind periodic pushing.
Solution Approach 2:
The system changes the parameter of service recommendation from static periodic pushing to dynamic behavior-based triggering. By monitoring user service usage status and changing recommendation parameters based on actual usage patterns, the system improves precision by recommending services that match current user needs rather than using fixed scheduling.
2Speed
If backend server frequently pushes service information to mobile terminal applications, then users can receive timely service notifications, but normal communication of the user is interfered
Solution Approach 1:
The system replaces continuous periodic pushing with event-triggered periodic action. Instead of pushing at fixed intervals regardless of user state, the system triggers notifications only when specific events occur (service usage status changes), reducing unnecessary communication while maintaining timely notification speed when needed.
Solution Approach 2:
The system extracts and separates essential notification functions from non-essential periodic pushing. By taking out only the necessary service status change notifications and removing redundant periodic pushes, the system maintains communication speed for important information while eliminating interference with normal user communication.
3Quantity of substance
If users manually search for desired services in mobile terminal applications, then comprehensive service information can be accessed, but users cannot rapidly find desired services
Solution Approach 1:
The system performs preliminary action by proactively pushing service information to users based on their profiles and behavior patterns. Instead of requiring users to manually search through all available services, the system pre-screens and presents relevant services in advance, dramatically reducing service discovery time while maintaining information completeness through personalized filtering.
Solution Approach 2:
The system applies local quality by providing personalized service recommendations tailored to each user's specific needs, preferences, and behavior patterns. Rather than presenting all services uniformly to all users, the system customizes the service information presented to each user, enabling rapid discovery of relevant services without sacrificing comprehensive access to service information.
Data Source
AI summary
A service processing method includes: presenting predefined services on a service usage interface of a first application; obtaining, from a backend server of the third-party service provider, notification information that a first service presented on the service usage interface has been used, updating the predefined services on the service usage interface, and presenting an information prompt identifier corresponding to the first service; and detecting that the information prompt identifier corresponding to the first service is triggered, and in response to detecting that the information prompt identifier corresponding to the first service is triggered, presenting the notification information that the first service has been used and an information prompt identifier of a second service associated with the first service, the information prompt identifier of the second service being capable of prompting a user to add the second service to the service usage interface of the first application.


