Information operation strategy determination method and device, equipment and storage medium

Abstract

The invention provides an information operation strategy determination method and device, equipment and a storage medium. The method comprises the following steps: obtaining execution results of a plurality of object groups executing respective corresponding preset information operation strategies; based on the execution result, obtaining at least one piece of operation data corresponding to each object group; classifying the at least one piece of operation data corresponding to each object group based on a mutual relationship among the operation data to obtain at least one operation data set corresponding to each object group; summarizing each operation data in each operation data set corresponding to each object group to obtain summarized information of each operation data set corresponding to each object group; and resampling the summarized information corresponding to each object group as new data, calculating a statistical significance result between the object groups according to a hypothesis testing principle,and determining a target information operation strategy. Statistical deviation caused by non-independence of data is reduced, and the accuracy of information operation strategy determination is improved.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to a method, device, equipment and storage medium for determining an information operation strategy. Background technique [0002] The AB experimental system is an experimental statistical analysis method based on a normal distribution. It assumes that the user's behavior data is independent and identically distributed, and then based on the central limit theorem, compares the mean values ​​of the experimental group and the control group to draw conclusions. In the prior art, when calculating the statistical significance of the difference between the groups A and B, the user behavior data of the groups A and B are collected first. Then assume that the user behaviors of the two groups of data A and B do not affect each other, and the sample data is independent, that is, it is assumed that the sample mean and variance of the two groups of data A and B exist, and the samp...

AI Technical Summary

Problems solved by technology

[0003] The existing technology is based on the fact that each user behavior is independent of each other. On this basis, the covariance between each user behavior is zero. However, in practical applications, each user behavior is not Independent, if the covariance between non-independent data is ignored, the calculated data will be missing some values, that is, the variance will be underestimated, resulting in inaccurate experimental conclusions, which will cause the business side to conduct experiments to get the group B plan The conclusion is better than the group A plan, but the actual group B plan does not achieve the expected effect after it goes online

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