Method and device for determining moving time of time window

Abstract

The invention provides a method and a device for determining moving time of a time window. Dynamic sliding of the time window can be realized, and data obtained by statistics is more reasonable, so that the accuracy of supervision is improved. The method for determining the moving time of the time window comprises the steps of, according to earliest time of faked sales of a merchant and starting time of a current round of movement of the time window in a window record table, determining last faked sale time of the merchant; determining real starting time of the current round of the movement ofthe time window according to latest default sheet creation time and the last faked sale time of the merchant; and starting from the real starting time of the current round of the movement of the timewindow, counting a faked sale amount of the merchant in the length of the time window, and determining ending time of the current round of the movement of the time window according to the faked saleamount.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method and device for determining the moving time of a time window. Background technique [0002] With the rapid development of online shopping, in order to increase the search weight of products on the e-commerce trading platform, some merchants often increase the sales volume of products through manual swiping; in addition, the e-commerce platform strengthens the supervision and management of merchants , to maintain a good ecology of the platform, it is necessary to punish merchants for their swiping behavior according to their swiping volume. An important indicator for the supervision of merchants' swiping behavior is the highest value of a merchant's swiping volume within a unit time window , this indicator is often an important basis for punishing merchants. [0003] In the existing technology, when the e-commerce platform counts the amount of orders in the unit...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, when the e-commerce platform counts the amount of orders in the unit time window, it adopts a unified time window for all merchants, and the sliding method of the smooth time window is used for statistics, and the unified time window is used for data collection. It seems fair, but due to the difference in the ordering time of different merchants, it is impossible to combine the specific behavior of each merchant when collecting data in the same time window, resulting in unavoidably broad and unspecific statistical data; in addition, smooth The sliding method of the traditional time window does not consider the distribution of data. The time window slides according to a fixed period to count the amount of merchants' swiping orders. "peak shaving" cannot truly reflect the data trend of merchants swiping orders within a unit cycle

[0004] In the process of realizing the present invention, the inventor found that there are at least the following problems in the prior art: the existing method of moving the time window will lead to the problem of decentralization of the statistics of merchant swiping orders, and cannot truly reflect the data of merchants swiping bills within a unit period The trend may lead to the concentration of default orders issued. For example, a large number of default orders will be issued at the end of each time window. After many attempts, the defaulting merchants can easily find out the regulatory rules and avoid punishment. It is not conducive to the development of e-commerce platforms; in addition, the time window of merchants is too unified, which makes the statistical data broad, making the supervision of e-commerce platforms not targeted, and reducing the accuracy of supervision

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