Keyword Information Management System Using Multi-Dimensional Classification
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Solution Overview
Problem
Existing systems fail to effectively manage and provide keyword information selected by users across various types of content, as they lack integration and classification capabilities for devices, users, and applications.
Innovation Solution
A system and method that integrates and manages keyword information by classifying it with respect to devices, users, and applications, using a server that receives keyword information from devices, extracts keywords, and provides relevant information through a network, allowing for user-selected keyword information to be repeatedly accessed and displayed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If keyword information is provided for multiple types of content across various devices, then the quantity and versatility of keyword information increases, but the complexity of managing and classifying this information increases
Solution Approach 1:
The patent segments keyword information management by creating distinct classification dimensions: device type, user identity, and application category. Each dimension acts as an independent segmentation layer that organizes keyword data separately, allowing the system to handle diverse keyword information without overwhelming complexity in any single management area.
Solution Approach 2:
The patent introduces multiple classification dimensions (device, user, application) to organize keyword information. By adding these dimensional layers, the system transforms a potentially complex single-dimension management problem into a structured multi-dimensional classification system, making it easier to retrieve and manage keyword information across different contexts.
2Measurement precision
If keyword information is classified by device, user, and application, then the precision of information retrieval improves, but the complexity of the classification system increases
Solution Approach 1:
The classification system is segmented into three independent categorical dimensions: device type, user identity, and application category. Each dimension is managed separately with its own classification rules, allowing precise retrieval without requiring complex inter-dimensional relationships. This segmentation enables the system to achieve high retrieval precision through simple, independent categorization.
3Adaptability or versatility
If keyword information from multiple devices is integrated and managed centrally, then the versatility of information access improves, but the complexity of data integration increases
Solution Approach 1:
The server implements a universal classification framework that handles multiple device types, users, and applications through a single integrated system. This universal structure uses consistent classification rules across all data sources, allowing the system to integrate diverse keyword information without requiring device-specific or application-specific integration logic, thereby reducing overall integration complexity.
Data Source
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AI summary
A system and method for providing keyword information are provided. The method includes receiving, from a device, first keywords and first keyword information corresponding to the first keywords; classifying the first keywords and the first keyword information; receiving content from the device and extracting second keywords from the received content based on the classified first keyword information; and providing, to the device, second keyword information matching the extracted second keywords.