Geographic Grid Keyword Selection for Search Accuracy
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Solution Overview
Problem
Conventional search technologies present static keywords that lack association with user location, personal attributes, and search history, resulting in low-accuracy search results.
Innovation Solution
A method that generates multiple geographic grids based on service provider location information, where keywords with high search popularity in matching regions are acquired and presented to users, enhancing relevance and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If static keywords are presented to all users regardless of location, then the search system is simple to operate, but the accuracy of search results deteriorates
Solution Approach 1:
The patent applies local quality by presenting different keywords to users based on their geographic locations. The system divides the service area into multiple geographic grids and selects keywords specific to each grid, so that users receive location-relevant search suggestions rather than uniform static keywords, thereby improving search result accuracy without significantly increasing system complexity
Solution Approach 2:
The system changes the parameter of keyword selection from static to dynamic based on user location. By acquiring user location information and matching it with geographic grids, the system dynamically selects appropriate keywords, transforming the search system from a one-size-fits-all approach to a personalized approach that improves accuracy
2Measurement precision
If personalized keywords based on user location are presented, then search result accuracy is improved, but the complexity of the search system increases
Solution Approach 1:
The patent segments the service area into multiple geographic grids, where each grid contains specific service providers and associated keywords. This segmentation allows the system to manage complexity by organizing location and keyword data into discrete, manageable units, making it feasible to implement personalized keyword presentation without overwhelming system complexity
Solution Approach 2:
The system automatically acquires user location information and matches it with the appropriate geographic grid to select relevant keywords, without requiring manual user input or configuration. This self-service approach improves keyword accuracy while minimizing the operational complexity for users
3Ease of operation
If location-based keyword selection is implemented, then user search experience is improved, but the processing requirements and system complexity increase
Solution Approach 1:
The system pre-establishes geographic grids and associates keywords with specific grids before user queries. This preliminary organization of data allows for rapid matching during user searches, improving ease of operation while managing processing complexity by avoiding real-time complex calculations
Data Source
AI summary
Multiple geographic grids are generated according to acquired location information of a service provider. Each geographic grid contains one or more service providers. The second region matching the target location information is a geographic grid for a region defined by the target location information. A presentation request for a search page is received. The presentation request includes target location information. A keyword is acquired that has a search popularity meeting a first condition in a first region matching the target location information, and the acquired keyword is used as a first keyword. The first keyword is provided for presentation in the search page.