Fan prediction management method and device, electronic device and storage medium
A management method and fan technology, applied in computer equipment and storage media, fan prediction management method, and device field, can solve problems such as the inability to effectively grasp changes in the number of fans of official accounts, and the inability to provide data reference, and achieve the effect of improving prediction accuracy.
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Embodiment 1
[0045] In order to solve the problem that the change in the number of fans of the current official account cannot be effectively grasped and the data reference cannot be provided in advance for the platform operation, the embodiment of the present invention provides a fan prediction management method, which realizes the prediction platform in the future to be predicted by using the ARIMA model. While predicting the number of followers, the initial value of the model parameters is determined through the distribution of autocorrelation and partial autocorrelation coefficients, and the minimum information criterion (AkaikeInformationCriterion, referred to as AIC) and Bayesian Information Criterion (BayesianInformationCriterion, referred to as BIC) are used to screen out The best model makes the final prediction more accurate.
[0046] See figure 1 , figure 1 The flow chart of the follower prediction management method provided in this embodiment mainly includes the following step...
Embodiment 2
[0151] On the basis of the above-mentioned first embodiment, this embodiment provides a follower prediction management device, which is used to implement the steps of the follower prediction management method described in the above-mentioned first embodiment, please refer to Figure 7 , the fan prediction management device 70 mainly includes a sample acquisition module 71, a difference module 72, a calculation module 73, a determination module 74, a validity verification module 75, an optimal screening module 76, and a processing module 77: wherein
[0152] The sample acquisition module 71 is used to obtain the original time series of the number of fans parameters based on the number of fans parameters of the platform to be predicted in each historical unit period, as a modeling sample.
[0153] The difference module 72 is used to perform an N-order difference operation on the original time series, and when it is judged that the first time series after the difference is a stati...
Embodiment 3
[0161] On the basis of the first and / or second embodiments above, this embodiment provides a computer device for implementing the steps of the follower prediction management method described in the first embodiment above, please refer to Figure 8 , the computer equipment mainly includes a processor 81, a memory 82 and a communication bus 83:
[0162] The communication bus 83 is used to realize the connection and communication between the processor 81 and the memory 82; the processor 81 is used to execute one or more programs stored in the memory 82, so as to realize the steps of the fan prediction management method as described in the first embodiment . For details, refer to the description of the first embodiment above, and details are not repeated here.
[0163] This embodiment also provides a storage medium, the storage medium stores one or more computer programs, and the one or more programs can be executed by one or more processors to realize fan prediction as described...
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