Terminal equipment replacement prediction method and device, storage medium and electronic equipment

Abstract

The invention provides a terminal equipment replacement prediction method and device, a storage medium and electronic equipment. The method comprises the steps that target operation data of a target object is obtained, and the target operation data is operation data generated by multiple selection operations executed by the target object on resource information on a target page within target time; according to the target operation data, a target time sequence and target object features are obtained, the target time sequence is used for recording multiple selection operations according to the sequence of execution time, and the target object features are used for describing a target object; and according to the target device data, the target time sequence and the target object features, machine change prediction is performed to obtain a first prediction result, the target device data being device data of a target terminal device held by the target object, and the first prediction result being used for indicating whether the target object changes the target terminal device or not. Whether the target terminal equipment is replaced by the target object can be objectively reflected, and the accuracy of machine replacement prediction is improved.

Description

technical field [0001] The present application relates to the field of data processing, and in particular to a prediction method and device, a storage medium, and an electronic device for terminal device replacement. Background technique [0002] The sales of mobile terminals and ancillary products have become the strategic core of major mobile phone manufacturers. Accurately predicting user replacement will help mobile phone manufacturers increase sales of mobile terminals and expand market size. However, user replacement behavior is affected by many factors, such as: user income, consumption habits, mobile phone dependence, call behavior, traffic usage behavior, etc., which brings great challenges to terminal replacement prediction. In the big data advertising monitoring scenario, in order to achieve accurate recommendations for mobile phone manufacturers, it is possible to accurately predict their phone replacement behavior by digging into the behavior data before and aft...

AI Technical Summary

Problems solved by technology

[0005] This application proposes a prediction method and device, a storage medium, and an electronic device for terminal equipment replacement, so as to at least solve the problem of low accuracy in predicting mobile phone replacement populations in related technologies

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