Active Area Determination Using Grid Popularity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for determining active areas rely on manual selection by administrators, which is subjective, inefficient, and lacks accuracy, leading to increased server workload and resource wastage due to repeated searches and potential mismatches with user expectations.
Innovation Solution
A method and server that divide geographical areas into grids, associate target objects with their corresponding grids based on geographical location, calculate popularity values of each grid using attribute information, and determine active areas objectively by forming sets of grids with high popularity values and appropriate distances, thereby improving accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual determination method is used to determine active area, then the implementation is simple, but the accuracy and reliability are low
Solution Approach 1:
The geographical area is divided into multiple grids, and each grid is assigned a popularity value based on target objects. This segmentation allows automated calculation of active areas through grid aggregation, improving accuracy while maintaining implementation simplicity.
Solution Approach 2:
The manual mechanical process of administrator determination is replaced with an automated computer-based system that calculates popularity values and determines active areas algorithmically, significantly improving accuracy and reliability.
2Device complexity
If manual determination method is used to determine active area, then the system complexity is low, but the workload is large and efficiency is low
Solution Approach 1:
The system automatically determines active areas by calculating popularity values based on target object data without requiring continuous manual intervention. The automated process handles area determination efficiently, improving productivity while keeping system complexity manageable.
3Ease of operation
If manually determined active area does not meet user requirements, then the user must input another keyword and perform another search, but this increases the number of server visits and search times
Solution Approach 1:
The system uses popularity values calculated from actual target object data to determine active areas, providing feedback-based determination that better matches user expectations. This reduces the need for repeated searches and improves the accuracy of first-attempt results.
4Reliability
If manually determined active area does not meet user requirements, then another search must be performed, but this wastes server resources and bandwidth
Solution Approach 1:
The system pre-calculates popularity values for all grids and determines active areas in advance based on target object data. This preliminary action ensures high reliability of determination and reduces the need for repeated searches, thereby conserving server resources and bandwidth.
Data Source
AI summary
The present disclosure discloses an example method and server for searching and determining an active area. A search request is received by a server. An active area corresponding to the search request is searched in accordance with the search request. Information of the active area is returned. According to the present techniques, the active area found by the server is determined objectively based on the obtained related information. The present techniques avoid increasing search times of the server, prevent waste of resources and bandwidth of the server, and improve the accuracy and reliability for searching the active area.