Geographic Word Stock for Intelligent Input Recommendation
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Solution Overview
Problem
Current input methods fail to intelligently provide geographic information to users, leading to increased complexity and inefficiency, especially when users need to input geographic-specific content such as names or locations.
Innovation Solution
A method and device that recommend candidate words based on geographic position by matching coded character strings with geographic position information, using a geographic word stock to retrieve and display relevant geographic words, thereby reducing user input complexity and enhancing method intelligence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional input methods are used without geographic position awareness, then the system complexity remains low, but the intelligence and user experience are insufficient
Solution Approach 1:
The system pre-constructs geographic word stocks for different geographic areas before actual input occurs. When a user enters a geographic area, the corresponding pre-prepared word stock is automatically activated, enabling intelligent candidate word recommendation without real-time processing complexity
Solution Approach 2:
A geographic position detection module acts as an intermediary between the user's physical location and the input method system. This mediator detects geographic position information and automatically selects the appropriate geographic word stock, shielding the user from complexity while enabling adaptive intelligence
2Adaptability or versatility
If geographic language packets are downloaded to local files, then geographic name and dialect input is supported, but the system requires manual intervention and lacks real-time adaptability
Solution Approach 1:
The input method system automatically detects the user's geographic position and self-selects the appropriate geographic word stock without requiring manual download or configuration of language packets. The system serves itself by autonomously adapting to the user's location and providing relevant candidate words
Solution Approach 2:
The system dynamically switches between different geographic word stocks based on real-time geographic position information. Instead of static local file downloads, the active geographic word stock changes dynamically as the user moves between different geographic areas, enabling real-time adaptability
3Measurement precision
If comprehensive geographic word stocks are constructed for all areas, then candidate word accuracy is improved, but system resource consumption and complexity increase
Solution Approach 1:
Instead of maintaining a single comprehensive geographic word stock, the system creates specialized geographic word stocks tailored to specific geographic areas. Each local word stock contains only the vocabulary relevant to that area, improving matching accuracy for local terms while reducing overall system complexity through distributed, localized data structures
Data Source
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AI summary
The disclosure provides a method and device for recommending a candidate word according to a geographic position. The method may include receiving a coded character string of a user by a computing device. The computing device may collect geographic position information corresponding to the coded character string, and then determine a geographic area in which the geographic position information is located. The computing device may obtain a geographic candidate word corresponding to the coded character string according to a geographic word stock of the determined geographic area. The geographic word stock of the geographic area may store the coded character strings and a corresponding geographic word according to the geographic area. As compared to current technologies, complexity of input can be reduced and intelligence of an input method can be improved.