User Characteristic Clustering for Universal Information Generation
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Solution Overview
Problem
Existing methods for generating personalized information sets for different user groups are inefficient, requiring multiple questionnaires and event tracking, and lack universality across various services.
Innovation Solution
A method and apparatus that collect user and behavior information, divide it into dimensions, and use cluster analysis to generate characteristic information sets specific to a target service type, allowing for the identification of distinguishing features and improved information relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple questionnaires and event tracking are used to generate characteristic information sets for different user groups, then the accuracy of user understanding is improved, but the complexity of the system and labor costs increase significantly
Solution Approach 1:
The patent creates a universal user characteristic analysis system that can handle multiple service types through a single unified approach. Instead of designing separate questionnaires and tracking systems for each service type, the system uses one set of questionnaires and event tracking mechanisms that work across all service types, reducing system complexity while maintaining comprehensive user understanding capability
Solution Approach 2:
The patent merges multiple separate information collection methods (different questionnaires for different services, various event tracking systems) into a single unified system. By combining these previously separate processes into one integrated characteristic analysis system, the patent reduces the overall complexity while preserving the ability to accurately understand users across different service contexts
2Loss of information
If separate questionnaires and event tracking are designed for each service type, then the relevance of characteristic information is improved, but the productivity and efficiency of information generation decrease
Solution Approach 1:
The system employs a universal questionnaire and event tracking design that serves multiple service types simultaneously. This single multi-functional approach maintains information relevance by capturing service-type-specific characteristics through unified mechanisms, while dramatically improving productivity by eliminating the need to create and maintain separate information collection systems for each service type
Solution Approach 2:
The patent uses parameter changes to adapt a universal information collection system to different service types. By dynamically adjusting parameters within the unified system rather than creating entirely separate systems, the patent maintains information relevance for each service type while improving overall generation efficiency through standardized processing
3Reliability
If traditional methods are used to generate characteristic information sets, then the information can be obtained, but the labor costs and time consumption increase
Solution Approach 1:
The patent implements automated self-service mechanisms where the system automatically generates characteristic information sets without requiring manual intervention for each service type. The unified system autonomously processes user data, performs analysis, and produces characteristic information sets, ensuring reliable information obtainability while dramatically reducing both labor costs and time consumption compared to traditional manual methods
Data Source
AI summary
A method and apparatus for generating information are provided. An embodiment of the method includes: collecting characteristic information of a target user, and dividing the collected characteristic information into at least two dimensions, the characteristic information including user information and user behavior information; selecting the dimension associated with a target service type from the plurality of dimensions; and generating a target number of characteristic information sets based on cluster analysis on the characteristic information in the selected dimension. The embodiment can generate a characteristic information set corresponding to a user of any service type using the characteristic information of the target user, thereby improving the universality of the method for generating information.