Mobile Terminal Learning Data Unit for Personalized Service Hierarchy
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Solution Overview
Problem
Existing mobile terminals face challenges in providing personalized services due to the difficulty in maintaining and updating user information across various categories, leading to inefficiencies in information retrieval and user experience.
Innovation Solution
A mobile terminal with a learning data unit that acquires and categorizes user information, providing hierarchical information and registering categories as needed, allowing for optimized personalized service delivery without extensive user searching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the mobile terminal maintains and updates user information across all categories, then personalized service quality is improved, but the complexity of information management increases
Solution Approach 1:
The patent segments user information into hierarchical categories (first category, second category, etc.) with sub-categories. This segmentation allows the system to manage vast amounts of user information in organized, manageable units, reducing the complexity of maintaining and updating information across all categories while still enabling comprehensive personalized services.
Solution Approach 2:
The patent introduces a hierarchical dimension to information organization, moving from flat category structures to multi-level hierarchies with parent-child relationships. This dimensional change enables efficient navigation and management of user information by providing structured pathways through the data, reducing management complexity while maintaining service quality.
2Measurement precision
If the mobile terminal stores comprehensive hierarchical information, then information retrieval accuracy is improved, but the memory requirements and data structure complexity increase
Solution Approach 1:
By segmenting information into hierarchical categories and sub-categories, the system retrieves only relevant portions of user information needed for specific personalized services. This segmentation reduces the quantity of data that must be processed and stored while maintaining retrieval accuracy, as the hierarchical structure enables precise targeting of relevant information subsets.
Solution Approach 2:
The system performs preliminary organization of user information into hierarchical categories before retrieval operations. This preliminary structuring enables efficient querying and reduces the actual data volume that needs to be accessed during service delivery, optimizing both storage efficiency and retrieval accuracy.
3Adaptability or versatility
If the mobile terminal implements automated learning and categorization, then user service personalization is improved, but the processing time and computational resources increase
Solution Approach 1:
The learning data unit performs automated learning and categorization of user information in advance, before personalized services are delivered. This preliminary action pre-processes and organizes user data into hierarchical categories, so that when services are requested, the system can quickly retrieve pre-categorized information rather than processing raw data in real-time, reducing processing time while maintaining personalization quality.
Solution Approach 2:
The system implements self-service learning mechanisms where the learning data unit automatically acquires, analyzes, and categorizes user information without requiring manual intervention. This automated self-service approach continuously improves personalization capabilities while operating in the background, minimizing impact on user-perceived processing time.
Data Source
AI summary
A mobile terminal according to an embodiment of the present invention may comprise: a display unit; a memory which stores hierarchy information including a plurality of categories that are classified based on the hierarchy; and a learning data unit which obtains user information, which provides the hierarchy information if a category corresponding the obtained user information among the plurality of categories is not stored, and which registers the category corresponding to the user information in the hierarchy information.