Social network big data commercial competition space calculation site selection method
By introducing crawler systems and spatial heterogeneity analysis methods in social media data acquisition and analysis, the problems of social media data acquisition and analysis in the prior art are solved, and high-precision commercial site selection is achieved.
CN119719476AInactive Publication Date: 2025-03-28吴元峰
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Patent Information
- Application Number
- CN202411470998.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-21
- Publication Date
- 2025-03-28
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Technical Problem
The prior art is difficult to effectively obtain and analyze social media data, especially in commercial site selection, and the lack of spatial heterogeneity-based methods leads to poor site selection results.
Method used
A crawler system based on the Scrapy framework is used to obtain Weibo data, and the spatial heterogeneity of sales data and influencing factors is analyzed through spatial rules grid division and land rights fusion model, and a distributed campaign model is established to determine the best commercial site selection location.
Benefits of technology
Achieving high-precision and accuracy commercial site selection can more effectively analyze the impact of spatial heterogeneity on retail store sales and provide the best location recommendations.
✦ Generated by Eureka AI based on patent content.
Abstract
According to the social network big data commercial competition space calculation site selection method, space data, mathematical calculation and big data analysis technologies are utilized to objectively acquire a user activity center by analyzing social media data, a grid division technology is adopted, and a geographic weighting model is utilized to research the spatial heterogeneity of sales data and influence factors, so that the social network big data commercial competition space calculation site selection is realized. A crawler-based social media data acquisition method is provided, and the address of a resident is acquired by using a microblog sign-in position instead of a traditional questionnaire mode. And proposing a method for obtaining a site selection sample based on the space grid, and determining the optimal space grid division size. A spatial heterogeneity commercial district competitive site selection method is provided, a multiple regression model considering spatial heterogeneity is established by using a geographical weighted model and land right fusion model, an expression model of attraction is established based on a distributed election model, and an influence mechanism of a competitive site selection result is evaluated by using sensitive parameters. And high-precision and high-accuracy optimal new commercial district location selection is realized.
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