Method and device for evaluating positioning results of target positioning applications

Abstract

The invention aims to provide a method and a location evaluation device for evaluation of a location result of a target location application. Specifically, the method comprises steps of determining to-be-evaluated data related to the target location application, wherein the to-be-evaluated data comprises at least one location result of the target location application; according to the result feature information of the location result, determining evaluation dimension information; and performing data processing on the location result according to the evaluation dimension information so as to obtain a corresponding evaluation result. Compared with the prior art, in the method, the evaluation dimension information is determined according to the result feature information of the location result of the target location application, so that the target location application is evaluated in different evaluation dimensions, and the effectiveness and accuracy of the evaluation result are improved; and evaluation is performed preferably in the point of view of front end user experience, thereby better improving the user experience.

Description

technical field [0001] The present invention relates to the field of positioning technology, in particular to a technology for evaluating positioning results of target positioning applications. Background technique [0002] The emergence of location-based services has greatly enriched people's lives and brought many conveniences. However, a good positioning service is based on accurate positioning of the user's location, and the evaluation of the positioning effect of the positioning service in the prior art mainly adopts two methods of manual evaluation and traditional automatic evaluation. [0003] The manual evaluation method needs to manually go to the selected evaluation sample site to start the positioning service and check the deviation value between the coordinates returned by the positioning service and the actual coordinates of the location to evaluate the positioning effect of the positioning service. The evaluation of positioning effect is relatively accurate, b...

AI Technical Summary

Problems solved by technology

[0003] The manual evaluation method needs to manually go to the selected evaluation sample site to start the positioning service and check the deviation value between the coordinates returned by the positioning service and the actual coordinates of the location to evaluate the positioning effect of the positioning service. The evaluation of positioning effect is relatively accurate, but the cost is high, requiring a lot of manpower and material resources, and it is difficult to evaluate multiple sample locations in batches, which reduces the evaluation efficiency

[0004] The traditional automatic evaluation method usually uses the GPS positioning return log generated when the user's mobile device turns on GPS (Global Positioning System, Global Positioning System) as a reference point, compares the return result of the positioning service with the GPS reference point, and based on the deviation result To evaluate the positioning effect of the positioning service, although this method is low in cost, and can use the positioning log of the positioning service to construct a large number of evaluation samples, and the evaluation covers a wide range, but the GPS itself may drift, resulting in inaccurate calculation of deviation results, and It tends to measure the positioning effect of positioning services from the perspective of back-end positioning capabilities, and cannot measure the positioning effect of positioning services from the perspective of front-end user experience, which is not conducive to improving user experience

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