Map interest point mining method and device, equipment and storage medium

Abstract

The invention discloses a map interest point mining method, belonging to the field of big data and the field of natural language processing. The method comprises the steps of collecting at least one piece of Wi-Fi scanning information and positioning information of multiple pieces of user equipment; according to the at least one piece of Wi-Fi scanning information and the positioning information of the plurality of pieces of user equipment, acquiring associated information of at least one Wi-Fi, wherein the associated information comprises a name and a geographic position; if the name of the Wi-Fi is the name of the interest point, adding a corresponding map interest point to an electronic map according to the name and the geographic position of the Wi-Fi, thereby effectively improving themining efficiency of the map interest point. The invention further discloses a map interest point mining device, equipment and a storage medium.

Description

technical field [0001] The embodiments of the present application relate to the field of big data and the field of natural language processing in the field of computer technology, and in particular to a method, device, device and storage medium for mining map interest points. Background technique [0002] A map point of interest (Point Of Interest, POI) refers to an icon on an electronic map that can attract users' attention, such as shopping malls, restaurants, schools, and hospitals. By mining the POIs on the map, new locations in reality can be added as new POIs on the map. [0003] At present, the method of mining map interest points is mainly manual field collection. This method requires a large amount of human resources for field collection, and the cost is high. For some remote places, due to the limitations of the collection method and cycle, it may not be possible. timely coverage. [0004] It can be seen that the efficiency of mining map POIs is not high, and it ...

AI Technical Summary

Problems solved by technology

[0003] At present, the method of mining map interest points is mainly manual field collection. This method requires a large amount of human resources for field collection, and the cost is high. For some remote places, due to the limitations of the collection method and cycle, it may not be possible. timely coverage to

[0004] It can be seen that the mining method of map POIs is not efficient, and it is more likely that some map POIs are missing. As a result, when users search for such map POIs, the electronic map cannot return relevant results for users.

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