Service Ranking via Usage-Reservation Ratio
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Solution Overview
Problem
There is no effective solution in existing technologies to accurately determine the quality or user-oriented recommendation degrees of different services integrated into social applications, leading to difficulties in rapidly selecting a high-quality service for use.
Innovation Solution
A service processing method that determines the reservation amount and usage amount of each service, calculates a usage-reservation ratio parameter, and uses a characteristic value strategy to rank services, presenting a ranking result to users through a graphical interface to help them select high-quality services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If services are integrated into a social application in an All-In-One manner, then service functionality is enhanced, but it becomes difficult to accurately determine qualities of different services and help users rapidly select a service to be used
Solution Approach 1:
The patent applies visual differentiation through color coding and graphical indicators to represent different service qualities and types. The interface uses color-coded icons, quality indicator bars, and visual ranking displays to help users rapidly identify and select high-quality services among integrated options, transforming abstract quality data into intuitive visual information.
Solution Approach 2:
The system dynamically changes display parameters based on service quality metrics. It adjusts the prominence, positioning, and visual weighting of service items in the interface according to their determined quality scores, usage-reservation ratios, and characteristic values, allowing high-quality services to be automatically highlighted and easier to select.
2Reliability
If the reservation amount of a service is excessively high, then the service availability is improved, but the characteristic value becomes excessively high due to centralized usage, which does not reflect true service quality
Solution Approach 1:
The patent introduces asymmetric weighting in the characteristic value calculation formula, where the quality score is not directly proportional to usage amount but uses a normalized function (usage-reservation ratio) that asymmetrically balances usage intensity against reservation scale. This prevents services with excessive centralized usage from dominating the ranking.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring service usage patterns and adjusting quality assessments accordingly. It uses usage-reservation ratio metrics to detect abnormal centralized usage patterns and compensates for them in the characteristic value calculation, ensuring that quality reflections remain accurate even when usage patterns skew.
3Productivity
If only the usage amount of a service is considered for quality determination, then the popularity of the service is reflected, but services with high usage may have excessively high characteristic values without considering reservation amount
Solution Approach 1:
The patent transforms the quality determination approach by changing from using raw usage amount to using the usage-reservation ratio parameter. This parameter transformation normalizes popularity data against availability data, creating a more balanced quality metric that accounts for both service adoption and resource allocation efficiency.
Solution Approach 2:
The system adds a new dimensional perspective by introducing the usage-reservation ratio as a separate evaluation dimension. Instead of relying solely on usage amount (one dimension), it combines usage dimension with reservation dimension to create a multi-dimensional quality assessment that prevents any single factor from excessively influencing the characteristic value.
Data Source
AI summary
Disclosed is a service processing method, a server and a computer storage medium. In the method, for each of a plurality of services, a reservation amount of the service and a usage amount of the service are determined according to service usage information of a client; the reservation amount of the service and a usage-reservation ratio parameter of the service are processed on the basis of a characteristic value strategy to obtain a characteristic value of each service, the usage-reservation ratio parameter of the service is determined on the basis of the reservation amount of the service and the usage amount of the service; and a graphical interface of the client is called to present a ranking result of characteristic values of the plurality of services.