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Method and device for predicting operation duration of regional interest point, server and medium

A prediction method and technology for points of interest, applied in the field of operation duration prediction of regional points of interest, can solve problems such as affecting the accuracy of prediction results, inability to achieve POI prediction, high cost accuracy and prediction efficiency, and improve prediction efficiency. and the effect of accuracy

Active Publication Date: 2019-08-16
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the method of predicting the duration of regional POI operations based on human experience relies too much on the familiarity of humans with the region, and the cost is high, and the accuracy and estimation efficiency are greatly affected by human factors. The method of POI operation duration also has the problem of affecting the accuracy of prediction results due to the update of regional POI data, and cannot realize the estimation of POI operation duration in historically untouched areas, which needs to be improved urgently

Method used

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  • Method and device for predicting operation duration of regional interest point, server and medium
  • Method and device for predicting operation duration of regional interest point, server and medium
  • Method and device for predicting operation duration of regional interest point, server and medium

Examples

Experimental program
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Embodiment 1

[0025] figure 1 It is a flow chart of a method for predicting the operation duration of a point of interest in an area provided by Embodiment 1 of the present invention. This embodiment is applicable to the case of predicting the operation duration of a point of interest in any area. The method can be performed by the device or server for predicting the operation duration of the regional interest point provided by the embodiment of the present invention, and the device can be implemented in the form of software and / or hardware. The method specifically includes the following steps:

[0026] S101. According to the industry types of POIs in the target area and the mapping relationship between candidate industry types and candidate acquisition difficulties, determine the number of POIs with candidate acquisition difficulties in the target area.

[0027] Wherein, the target area may refer to an area where POI operations are required. Optionally, the target area may be the entire ur...

Embodiment 2

[0039] Figure 2A It is a flow chart of a method for predicting the working time of a regional point of interest provided in Embodiment 2 of the present invention, Figure 2B Embodiment 2 of the present invention provides a schematic diagram of presetting the POI operation duration based on the mapping relationship between candidate industry types and candidate collection difficulties. This embodiment is further optimized on the basis of the above embodiments, and specifically provides a specific introduction of how to generate the mapping relationship between candidate industry types and candidate acquisition difficulties according to the historical POI acquisition records of the sample area. Specifically include:

[0040] S201. Use the historical POI collected in the sample area in the first historical time period as the candidate POI, and use the industry type to which the historical POI belongs as the candidate industry type.

[0041] Wherein, the first historical time p...

Embodiment 3

[0062] image 3 It is a flow chart of a method for predicting the working time of regional interest points provided by Embodiment 3 of the present invention. This embodiment is further optimized on the basis of the above-mentioned embodiments, and specifically provides how to construct a POI operation duration prediction model, and how to determine the POI operation duration of the target area according to the POI duration prediction model. , the method specifically includes:

[0063] S301. According to the historical POI collection records in the sample area, determine the number of POIs with candidate collection difficulties in the sample area and the POI operation time in the sample area.

[0064] Wherein, the historical POI collection record can be for a region where POI data has been collected in a certain history, and the data recorded when historically collecting POI data in this region, such as may include but not limited to: relevant information of POIs collected in ...

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Abstract

The embodiment of the invention discloses a method and a device for predicting the operation duration of a regional interest point, a server and a medium. The method comprises the steps of determiningthe number of POIs with candidate collection difficulty in a target area according to an industry type of a POI in the target area and a mapping relation between candidate industry types and the candidate collection difficulty, wherein the mapping relation is generated according to historical POI collection records of a sample area; and determining the POI operation duration of the target area according to the POI number with the candidate collection difficulty in the target area. According to the scheme provided by the embodiment of the invention, the prediction efficiency and the predictionaccuracy of the regional POI operation duration are improved, the method and the device can be suitable for predicting the historical POI operation duration of an untouched region, and the income andthe cost of POI operation in any region can be effectively measured.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of data processing, and in particular, to a method, device, server, and medium for predicting operation duration of regional interest points. Background technique [0002] As Internet maps become more and more widely used, timely updating of point of interest (POI) data becomes more and more important. In the actual process of operating and maintaining regional POIs, it is necessary to estimate the operating time of regional POIs, so as to better measure the relationship between the benefits and costs of regional POI operations. [0003] At present, the existing technology usually predicts the operation duration of POIs in the region based on human experience or historical POI operation duration in the region. However, the method of predicting the duration of regional POI operations based on human experience relies too much on the familiarity of humans with the region, and the cost...

Claims

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Application Information

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IPC IPC(8): G06F16/29G06Q10/04G08G1/01
CPCG06Q10/04G08G1/0125G06F16/29
Inventor 吴箫赵光辉吴云鹏
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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