User phone-changing prediction method and apparatus

Abstract

The invention discloses a user phone-changing prediction method. The method includes: determining first phone-changing user result data according to obtained user bill data and a preset bill phone-changing prediction method; determining second phone-changing user result data and target terminal type data according to obtained search behavior data and a preset search behavior prediction method; comparing the first phone-changing user result data with the second phone-changing user result data, and determining prediction result data according to a comparison result; and determining a user phone-changing prediction list according to the prediction result data and the target terminal type data. The invention also discloses a user phone-changing prediction apparatus, and the tendency of changing a terminal for a user can be more accurately predicted.

Description

technical field [0001] The present invention relates to the field of communication technologies, and in particular to a method and device for predicting user phone change. Background technique [0002] With the popularity of smart phones, how often users replace a new terminal, and what type of terminal they will choose when replacing, has become a key issue that telecom operators and terminal manufacturers need to solve when carrying out terminal marketing work. The existing user replacement prediction method is mainly based on telecom bills, user tariff capabilities, user past terminal usage cycles, expiration of terminal bundled packages and other big data, and operators predict the user terminal replacement tendency by establishing a user terminal prediction model , but due to the limitations of telecom bill data, it cannot directly reflect the user's tendency to replace terminals, which reduces the accuracy of predicting user replacement. [0003] Therefore, the existi...

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to propose a user replacement prediction method and device, aiming to solve the problem that the existing replacement prediction method cannot directly reflect the user's tendency to replace the terminal, and the accuracy of predicting the user replacement is low.

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