Dynamic Service Weight Allocation for User Perception Evaluation
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Solution Overview
Problem
Current user perception evaluation technologies fail to consider the service usage range and habits of users, leading to inaccurate assessments as they do not allocate weights dynamically based on the specific services used, resulting in a lack of scientific evaluation and reduced accuracy.
Innovation Solution
A method and system that acquire perception evaluation results for each service, allocate service weight values based on service parameter information, and generate an overall perception evaluation by considering the usage habits and frequencies of different services, allowing for dynamic weight allocation and more accurate assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If uniform evaluation indexes are used for all services, then the evaluation system is simple to implement, but the evaluation accuracy is reduced because different service features are not considered
Solution Approach 1:
The patent segments the evaluation system by service type, dividing internet services into categories such as webpage browsing, instant messaging, blog services, Weibo services, search services, game services, and video watching services. Each service category is assigned specific evaluation indexes tailored to its characteristics, rather than using a uniform evaluation approach for all services.
Solution Approach 2:
The patent applies local quality by assigning different evaluation indexes to different service types based on their specific features. For example, webpage browsing services are evaluated using indexes related to page loading speed and completeness, while instant messaging services use indexes related to message delivery time and success rate. This ensures each service is evaluated by metrics most relevant to its function.
2Measurement precision
If service weights are allocated based on user usage habits, then the evaluation accuracy is improved, but the system complexity increases due to the need to track and analyze usage data
Solution Approach 1:
The patent implements self-service by enabling the evaluation system to automatically collect service usage data from user devices and autonomously calculate service weights based on usage frequency and duration. The system自行 (self) completes the entire process of data collection, analysis, and weight allocation without requiring manual intervention, thereby reducing operational complexity while maintaining high evaluation accuracy.
Solution Approach 2:
The patent incorporates feedback mechanisms where service usage data is continuously collected and fed back into the evaluation system. This feedback loop allows the system to dynamically adjust service weights based on actual usage patterns, ensuring the evaluation remains accurate and up-to-date with user behavior changes.
3Ease of operation
If traditional perception evaluation methods are used, then the evaluation process is simple, but the service usage range and habits of users are not considered leading to inaccurate assessments
Solution Approach 1:
The patent introduces dynamics by making service weights variable rather than fixed. Service weights are dynamically adjusted based on real-time or historical usage data, allowing the evaluation system to adapt to changing user behaviors and service importance. This dynamic approach maintains operational simplicity while significantly improving evaluation accuracy by reflecting actual user priorities.
Data Source
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AI summary
A method and system for evaluating user perception are provided. The method includes that: a perception evaluation result of each service among multiple services used by a user is acquired; a corresponding service weight value is allocated to each service according to service parameter information of each service used by the user, wherein the service weight value refers to a ratio of each service to the multiple services; and an overall perception evaluation result of the multiple services used by the user is generated according to all perception evaluation results and corresponding service weight values. By means of the method and system, the effects of making perception evaluation more scientific and improving the accuracy of perception evaluation are achieved.