Landmark Data Display Sorting via Publicity Parameters
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Solution Overview
Problem
Current methods for regional sorting of network news are inefficient, particularly in large countries with vast territories, as they often prioritize big city news over local news and rely on manual sorting, which is time-consuming and labor-intensive due to the complexity of data messages.
Innovation Solution
A region labeling method that compares data documents with hierarchical region data to label regional characteristics, using a server to search for landmark data with specific parameters like publicity and address quoting frequency, and displays them in a sorted order to facilitate user search and reduce editor workload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual sorting is used for regional news, then editors can carefully classify news by region, but the process becomes time-consuming and labor-intensive
Solution Approach 1:
The patent replaces manual mechanical sorting with an automated computer-based system that uses natural language processing and region-labeling algorithms to automatically identify and classify regional information in news content, eliminating the need for manual editor intervention while maintaining classification accuracy
Solution Approach 2:
The system enables news content to self-identify its regional characteristics through automated region-labeling technology, where the computer automatically extracts and tags regional information without requiring external manual classification, thus reducing time loss while maintaining accuracy
2Productivity
If big city news is prioritized in regional sorting, then major news events are highlighted, but local news becomes difficult for users to find
Solution Approach 1:
The patent segments the regional sorting system into multiple hierarchical levels (provincial, municipal, district, and local levels), allowing news to be categorized and displayed according to different regional granularities, thus enabling users to easily find both major city news and local news based on their specific needs
Solution Approach 2:
The system changes the sorting parameters from simple city-level hierarchy to a multi-dimensional region-labeling system that considers multiple regional attributes and user preferences, enabling flexible sorting that balances major news prominence with local news accessibility
3Productivity
If automated region labeling is implemented, then editor workload is reduced, but the complexity of processing complex data messages increases
Solution Approach 1:
The patent introduces region-labeling technology as an intermediary layer between raw news data and final sorting output, where the system first extracts and labels regional features from complex news content using natural language processing, then uses these standardized labels for efficient sorting, thereby simplifying the overall processing complexity while maintaining high sorting speed
Data Source
AI summary
A method for displaying landmark data from a search of a place name keyword, the method includes: inputting the place name keyword to a server to search for a plurality of landmark data, wherein each of the landmark data comprises fields of a landmark name, an objective level category, an address, and an address quoting frequency; sorting the landmark data by an electronic device to a display order, based on a characterized parameter for each of the landmark, wherein the characterized parameter is calculated based on at least a publicity, wherein the publicity is a calculation of the objective level category and the address quoting frequency with respectively weighting to the objective level category and the address quoting frequency; and displaying the landmark data by the electronic device according to the display order.