Prediction period determination method, prediction content pushing method, prediction period determination device and prediction content pushing system

Abstract

The embodiment of the invention provides a prediction period determination method for pushing prediction content. The method comprises the following steps: based on a historical pushing situation of pushing predicted content to served user equipment, determining a first relation function of system energy consumption consumed by pushing the prediction content with respect to the number of files ofthe prediction content needing to be pushed, and a second relation function of the push success rate of pushing the prediction content with respect to the file number; based on the ratio of the firstrelation function to the second relation function, calculating the value of the number of the files when the value of the ratio is minimum; determining a value of the number of files; calculating prediction cycles, wherein the value of the file quantity is positively correlated with the prediction period; wherein the prediction period is used for pushing the prediction content to the served user equipment. By adopting the prediction period determined by the embodiment of the invention, the system energy consumption for pushing the prediction content to the served user equipment can be reduced,and meanwhile, the pushing success rate of the pushed prediction content is also improved.

Description

technical field [0001] The present invention relates to the field of communication technologies, in particular to a method for determining a forecast period, a method for pushing forecast content, a device and a system. Background technique [0002] With the development of society, more and more communication devices appear in the network, and the number of communication devices shows a geometric growth. At the same time, the requests sent by communication devices also show regional and tidal patterns, resulting in instantaneous backhaul The burden on the link increases, which greatly limits the performance of the entire network. [0003] Due to the temporal and spatial laws of user behavior, the historical behavior of the served user equipment has certain reference significance for the actions in the next period of time. At present, it is mainly for the current request of the served user equipment. Among the historical requests that have been sent, collect the content requ...

AI Technical Summary

Problems solved by technology

[0002] With the development of society, more and more communication devices appear in the network, and the number of communication devices shows a geometric growth. At the same time, the requests sent by communication devices also show regional and tidal patterns, resulting in instantaneous backhaul The burden of the link increases, which greatly limits the performance of the entire network

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