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Method and device for forecasting user loss

A user churn and user technology, applied in marketing and other directions, can solve problems such as difficulty in predicting user churn and sensitivity to user churn

Active Publication Date: 2015-05-13
BEIJING DIDI INFINITY TECH & DEV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present disclosure aims to provide a method and device for predicting user churn, which can solve the problem that the prediction method in the related art is difficult to predict user churn sensitively and accurately

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  • Method and device for forecasting user loss
  • Method and device for forecasting user loss
  • Method and device for forecasting user loss

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Embodiment Construction

[0022] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings and embodiments.

[0023] figure 1 It is a flowchart illustrating a time series-based churn prediction method according to an embodiment of the present disclosure, which includes the following steps S101 to S103.

[0024] Such as figure 1 As shown, in step S101, based on historical data, a corresponding churn prediction model is determined for each user. In step S102, based on the determined churn prediction model, the churn boundary of each user is determined. And in step S103, based on the time interval when the user initiates a new order, the corresponding churn prediction model and the corresponding churn boundary are updated.

[0025] In one embodiment, when the time interval for a user to initiate a...

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Abstract

The embodiment of the invention discloses a method and device for forecasting user loss. The method includes the steps of determining a corresponding loss forecasting model on the basis of historical data for each user, determining the loss boundary of each user on the basis of the corresponding determined loss forecasting model, and renewing the corresponding loss boundary of the corresponding loss forecasting model on the basis of the time intervals of new orders initiated by each user. The problems that by means of forecasting methods in related technologies, the user loss can hardly be sensitively and accurately forecasted can be solved.

Description

technical field [0001] Embodiments of the present disclosure relate to a method and device for predicting user churn. Background technique [0002] With the development of computer technology and the advent of the era of big data, various companies pay more and more attention to the retention of users, hoping to predict the loss of users. It is important for companies to identify users they already have who are at risk of churn early on, because if such users are identified early, steps can be taken to prevent churn. [0003] At present, user churn prediction is widely used in major traditional companies and Internet companies. Churn prediction modeling algorithms mainly include: logistic regression, neural network, decision tree, etc. These modeling algorithms generally do not model based on each user, but use a complete model with each user's characteristics as input to determine Whether the user churns. [0004] Moreover, the current churn prediction model cannot solve...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
Inventor 张彤
Owner BEIJING DIDI INFINITY TECH & DEV