Data processing method and device

Abstract

The embodiment of the invention discloses a data processing method and device. The method includes the following steps: acquiring historical trajectory information of a user, and determining a trafficstarting and ending point array based on the historical trajectory information, wherein the traffic starting and ending point array includes a starting area identifier and an ending point area identifier; obtaining the current user flux of a starting area corresponding to the starting area identifier, the historical user flux of an ending point area corresponding to the ending point area identifier, and the edge weight of the traffic starting and ending point array; and obtaining the current user flux of the ending point area based on the current user flux of the starting area, the historicaluser flux of the ending point area, and the edge weight of the traffic starting and ending point array. By adopting the embodiment of the invention, the accuracy of the current user flux of the ending point area can be improved.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a data processing method and device. Background technique [0002] The server can convert the earth coordinate system into the Mocha coordinate system, divide the map plate into regions according to the preset threshold, and obtain multiple regions. The server can determine the user circulation in each area in the following way: Obtain the number of users in the area corresponding to the designated area through the Global Positioning System (Global Positioning System, GPS) or base station positioning system, etc., and obtain the user circulation in the designated area based on the number of users quantity. But for areas with residential properties, the factors of the resident population make the circulation of users in this area unreal. In addition, for an area with the attribute of a transportation hub, users are more likely to stay in the area corresponding to the area f...

AI Technical Summary

Problems solved by technology

However, for areas with residential properties, the factors of the resident population make the circulation of users in this area unreal

In addition, for areas with transportation hub attributes, users are more likely to stay in the area corresponding to the area for a short time, resulting in low accuracy of user circulation in the area determined based on the number of users

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