Wechat public account user classifying method based on AdaBoost algorithm

A WeChat official account and classification method technology, applied in the field of WeChat official account user classification, can solve the problems of large impact on classification results, easy to be misclassified, difficult to classify, etc., and achieve easy promotion, improved push accuracy, and strong practicability Effect

Inactive Publication Date: 2015-06-24
INSPUR GROUP CO LTD
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Usually in a data set, the boundary data has a greater impact on the classification results, but it is difficult to classify, that is, it is easy to be misclassified

Method used

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  • Wechat public account user classifying method based on AdaBoost algorithm
  • Wechat public account user classifying method based on AdaBoost algorithm
  • Wechat public account user classifying method based on AdaBoost algorithm

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Embodiment

[0061] Now for the algorithm experiment, the data set we use comes from UCI, and 14 unbalanced data sets are selected for experiments. Some of the data sets are two types of unbalanced problems, and some data sets are manually modified into two types of unbalanced data sets. At the same time, we oversample the data set by Different settings are made to balance the dataset area, the nature of the dataset and The settings are attached figure 1 shown.

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Abstract

The invention discloses a Wechat public account user classifying method based on the AdaBoost algorithm. According to the method, when Wechat public account users conduct daily operation and inquiry, operation and inquiry information is iterated by means of the boundary data oversampling algorithm, then data with high weight serve as boundary data, the boundary data are sampled, users are classified, and a system pushes hotspot information when users conduct clicking again. Compared with the prior art, the method has the advantages that after iteration is conducted multiple times with the AdaBoost algorithm, the effectiveness of the algorithm is proved through experiment results, user information pushing accuracy can be improved, practicality is high, and popularization is easy.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method for classifying WeChat public account users with strong practicability and based on the AdaBoost algorithm. Background technique [0002] Classification refers to discovering the laws hidden in the data through the analysis and learning of existing data, and using these laws to predict and judge future data. With the rapid development of the information society today, in the face of massive data, classification technology is particularly important. Classification is also an important method in the field of machine learning and data mining. Existing classic classification algorithms, such as: KNN, Bayesian algorithm, neural network algorithm, support vector machine algorithm, ensemble learning, etc., have been widely used and achieved good results. [0003] In the era of mobile Internet, the widespread promotion of WeChat public accounts has opened up the directi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/62
Inventor 李云超孙晓燕
Owner INSPUR GROUP CO LTD
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