User loss prediction method and system based on cellphone game store

A technology for user churn and mobile games, applied in forecasting, data processing applications, computer parts, etc., it can solve the problems of business scenarios and the corresponding feature engineering complexity and the difficulty of modeling, and achieve the effect of high forecast accuracy.

Active Publication Date: 2018-01-19
GUANGZHOU HEYAN BIG DATA TECH CO LTD +1
View PDF4 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the current research on user churn prediction in game business scenarios has a wide range of categories, and targets game types ranging from massively multiplayer games to casual games, they are all only for the analysis of a single game
However, based on the prediction and analysis

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • User loss prediction method and system based on cellphone game store
  • User loss prediction method and system based on cellphone game store

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0047] The present invention will be described in further detail below in conjunction with the examples and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0048]Aiming at the lack of technology for predicting lost users in mobile game stores in the prior art, and the urgent need to identify potential lost users in the increasingly competitive mobile game store industry, the present invention proposes a user loss prediction method and system based on mobile game stores . Based on the definition of lost users, the method and system use selected server log user data and gradient boosting decision tree algorithm to establish a user loss prediction model, identify potential lost users of mobile game stores in the future, and provide decision support for retained users. The specific technical solutions are introduced through the following examples.

[0049] see figure 1 , which is a flow chart of the steps of the mobile game stor...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a user loss prediction method and system based on a cellphone game store, and the method comprises the following steps: collecting the basic information, behavior information and game information of users from a log of a server, and dividing the users into a training set user and a prediction set user; building a loss user tag for the training set user, and carrying out thepreprocessing of original data; carrying out the feature extraction, selection and standardization of the basic information, behavior information and game information of the training set user and theprediction set user; training a gradient increasing decision-making algorithm to obtain a user loss prediction model according to the features and loss user tag of the training set user; and recognizing a loss user of the cellphone game store through the user loss prediction model according to the features of the prediction set user. According to the invention, the method can quickly and accurately recognize the potential loss users based on the business scene of the cellphone game store, and provides a decision making support for the cellphone game store for the timely recall of the loss users.

Description

technical field [0001] The invention relates to the technical field of network data mining, in particular to a user loss prediction method and system based on a mobile game store. Background technique [0002] In recent years, with the popularization and development of mobile communication devices, the mobile game market has continued to grow steadily and rapidly around the world. Mobile game stores, as the entrance to mobile games for users, have always been the strategic deployment center for mobile game merchants. Under this premise, the competition in the mobile game store industry is fierce, and each mobile game store is facing a severe situation of user loss; moreover, retaining existing users can often generate greater profits than introducing new users. Therefore, for the increasingly saturated mobile game store industry, establishing an effective user loss prediction and analysis mechanism can provide decision support for mobile game store user retention, and even ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/04G06K9/62
Inventor 刘冶刘宇琛彭楠陈宇恒杨泽锋印鉴
Owner GUANGZHOU HEYAN BIG DATA TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products