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Store recommendation method based on geographic information grid density

A technology of geographic information and grid density, applied in geographic information database, digital data information retrieval, electronic digital data processing and other directions, can solve the problems of not being able to take into account most users, affecting user selection, and having a large number of recommendations.

Active Publication Date: 2019-08-09
BEIJING JINHER SOFTWARE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the results obtained by the existing recommendation methods are either too many recommendations or mixed results, which affect the user's choice, or the recommended stores are concentrated and cannot take into account the majority of users.

Method used

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  • Store recommendation method based on geographic information grid density

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Embodiment Construction

[0018] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.

[0019] It should be understood that terms such as "having", "comprising" and "including" used herein do not exclude the presence or addition of one or more other elements or combinations thereof.

[0020] In a technical solution, such as figure 1 As shown, the store recommendation method based on the grid density of geographic information includes:

[0021] Create a grid that separates the map;

[0022] Obtain the total number of target stores in the map range and the number of target stores in each grid unit, and calculate the target store density in each grid unit, the target store density is the number of target stores in the grid unit and the number of target stores in the map range The ratio of the total number of target stores;

[0023] According to the set recommend...

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PUM

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Abstract

The invention discloses a store recommendation method based on geographic information grid density. The store recommendation method comprises the following steps: establishing grids of a separation map; obtaining the total number of the target stores in the map range and the number of the target stores in each grid unit, and calculating the target store density in each grid unit, the target storedensity being the ratio of the number of the target stores in the grid unit to the total number of the target stores in the map range; and selecting a corresponding number of target stores from the target stores in each grid unit according to the set recommended number and the target store density to obtain the recommended target store. The current map is separated by utilizing the grids, and therecommendation quantity is determined according to the store density in each grid, so that the required stores can be recommended to the user, and the objective distribution condition of the stores inthe map range can be reflected.

Description

technical field [0001] The invention relates to a store recommendation method. More specifically, the present invention relates to a store recommendation method based on geographic information grid density. Background technique [0002] It has become a living habit of people to use electronic devices to view recommended information of restaurants and entertainment stores. However, the results obtained by the existing recommendation methods are either too many recommendations or mixed results, which affect the user's choice, or the recommended stores are concentrated and cannot take into account the majority of users. Therefore, it is urgent to design a recommended method that can overcome the above defects to a certain extent. Contents of the invention [0003] An object of the present invention is to provide a store recommendation method based on geographic information grid density, which uses grids to separate the current map, and determines the recommended number acco...

Claims

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Application Information

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IPC IPC(8): G06F16/9537G06F16/9538G06F16/29G06K9/00G06K9/46G06K9/62
CPCG06F16/9537G06F16/9538G06F16/29G06V20/10G06V10/44G06V20/68G06F18/22
Inventor 杨爽
Owner BEIJING JINHER SOFTWARE
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