A method and corresponding device for identifying potential users
A user and potential technology, applied in the computer field, can solve the problem of low accuracy in identifying potential users, and achieve the effects of small losses, improved accuracy, and strong correlation
Active Publication Date: 2021-04-02
中移动信息技术有限公司 +1
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[0004] Embodiments of the present invention provide a method and corresponding device for identifying potential users to solve the problem of low accuracy in identifying potential users in the prior art
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[0030]The technical solutions of the present invention will be described in detail below through the accompanying drawings and specific examples. It should be understood that the embodiments of the present invention and the specific features in the examples are detailed descriptions of the technical solutions of the present invention, rather than limitations to the technical solutions of the present invention. In the case of no conflict, the embodiments of the present invention and the technical features in the embodiments may be combined with each other.
[0031] In recent years, the growth of users in the telecommunications industry has produced massive amounts of data. Domestic operators have started building data warehouses, collecting and storing data, and providing data support for further data mining. Based on these massive user data, potential user identification can not only save a lot of marketing costs, but also accurately control user needs and improve the success r...
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The embodiment of the present invention discloses a method and a corresponding device for identifying potential users, which are used to solve the problem of low accuracy in identifying potential users in the prior art. The method includes: selecting N confirmed users, and obtaining the values of the characteristic variables of the N confirmed users; using the N confirmed users as an original sample set, and constructing a random forest classification model based on the original sample set Construct the loss function of the random forest classification model, and use L1 norm, L2 norm regularization described loss function; The dependent variable of the loss function after solving regularization is the optimal solution of described independent variable when minimum, And update the weight coefficients of all base classifiers according to the optimal solution to generate a new random forest classification model; input the value of the characteristic variable of the user to be identified into the new random forest classification model to obtain an output result; The output result determines that the user to be identified is a potential user or a non-potential user.
Description
technical field [0001] The invention relates to the field of computer technology, in particular to a method for identifying potential users and a corresponding device. Background technique [0002] At present, in order to more accurately control user needs and improve the success rate of corporate marketing, various companies often use the random forest algorithm to analyze a large number of confirmed user data of potential users and non-potential users, generate a random forest classification model, and use this The model determines the probability that the user to be identified is a potential user. [0003] However, the random forest classification model constructed by the prior art usually contains a large number of base classifiers constructed from useless features. The prediction performance of these base classifiers is very poor, which seriously affects the final output of the random forest classification model, making Random forest classification models are less accu...
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IPC IPC(8): G06K9/62G06Q30/02
CPCG06Q30/0201G06Q30/0203G06F18/24
Inventor 朱君瑀黄淳瑶郑茂余凤丽余韦江勇陈春松梁恩磊尚晶舒敏根黄岩
Owner 中移动信息技术有限公司