Method and system for predicting visitor losing

A prediction method and visitor technology, applied in the field of communication, can solve problems such as decline and user loss prediction effect, and achieve the effect of improving training efficiency, improving prediction accuracy, and high accuracy

CN108830645AInactive Publication Date: 2018-11-16XIAMEN KUAISHANGTONG INFORMATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2018-11-16
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a method and a system for predicting visitor losing. The method comprises: determining a target feature and an input feature, wherein the input feature is visitor behavior data, and the target feature is a visitor losing probability; dividing a data set for the visitor behavior data according to a preset ratio, wherein the data set includes a test set and a training set; calculating the penalty parameter lambda in the lasso algorithm for the training set by using a cross-validation method; training a lasso-logit model b using the training set according to the penalty parameter lambda; evaluating the lasso-logit model by using the test set; and finally outputting a prediction according to the evaluation result, so as to input the visitor behavior data into the prediction model, and output the visitor losing probability obtained by prediction. The invention is capable of effectively improving the effect of predicting visitor losing.
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Description

technical field

[0001] The invention relates to the technical field of communications, in particular to a visitor loss prediction method and a system applying the method. Background technique

[0002] The advent of the information age makes the focus of enterprise marketing change from product center to customer center, and customer relationship management becomes the core issue of the enterprise. One of the key issues in customer relationship management is customer churn prediction. Based on customer behavior characteristic data, the customer churn behavior is predicted. The company formulates optimized personalized service plans for the lost and active users, adopts different marketing strategies, and improves User activity, enhance user monetization ability, and achieve the goal of maximizing corporate profits.

[0003] A common analysis process in the aviation field is to use machine learning technology to predict the loss of online customers with the help of airline hi...

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Embodiment Construction

[0040] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer and clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0041] Such as figure 1 and figure 2 Shown, a kind of visitor loss prediction method of the present invention, it comprises the following steps:

[0042] a. Determine the target feature and input feature, wherein the input feature is visitor behavior data, and the target feature is visitor loss probability;

[0043] b. dividing the visitor behavior data into a data set according to a preset ratio, the data set including a test set and a training set;

[0044] c. the penalty parameter λ in the lasso algorithm is calculated by cross-validation method ...