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Method and system for classifying and predicting user behavior

A behavioral and user-based technology, applied in the field of Internet services, can solve the problems of large data volume, low accuracy rate, and difficulty in comprehensive statistics, and achieve the effects of accurate customer relationship management, reduced labor service costs, and improved forecasting capabilities

Active Publication Date: 2020-01-07
ONE CONNECT SMART TECH CO LTD SHENZHEN
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the scenario of massive data, the data often has many dimensions and a large amount of data, and it is difficult for humans to make comprehensive statistics on indicators related to user behavior.
In addition, due to people's fatigue and other conditions, the accuracy of this traditional manual recognition method is not high
[0004] However, in the prior art, the method for classifying and predicting user behavior is relatively simple, and the reference effect is not ideal

Method used

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  • Method and system for classifying and predicting user behavior
  • Method and system for classifying and predicting user behavior
  • Method and system for classifying and predicting user behavior

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Embodiment Construction

[0046] Below, the implementation of the technical solution will be further described in detail in conjunction with the accompanying drawings.

[0047] Those skilled in the art can understand that although the following description involves many technical details related to the embodiments of the present invention, this is only an example for illustrating the principle of the present invention, and does not imply any limitation. The present invention can be applied to occasions other than the technical details exemplified below, as long as they do not deviate from the principle and spirit of the present invention.

[0048] In addition, in order to avoid making the description in this manual limited to redundant, in the description in this manual, some technical details that can be obtained in the existing technical documents may be omitted, simplified, modified, etc. understandable to human beings, and this does not affect the adequacy of the disclosure of this specification. ...

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Abstract

The present invention relates to a method and system for classifying, identifying and predicting user behaviors. The method includes the following steps: Step 1. Obtain user behavior data for a preset period from one or more sources, and calculate the user behavior data in the preset period Attributes on each dimension of setting; Step 2, according to the source of user behavior data, and described attribute corresponding with described source, select corresponding classification model; Step 3, according to selected classification model, user behavior data Carry out classification and identification; Step 4. According to the classification result, call the information knowledge base to predict the purpose of the user's behavior, wherein the information knowledge base records the relationship between the process of the user's behavior and the purpose of the behavior.

Description

technical field [0001] The invention relates to the technical field of Internet services, in particular to a method for predicting user behavior based on decision tree induction. Background technique [0002] With the development of the Internet, thousands of people operate on the page every day. How to effectively analyze massive data and find favorable specifications or information from it has become a trend. Machine learning (Machine Learning) seems to be the most promising technology at present. Machine learning is a multi-field interdisciplinary subject that has emerged in the past 20 years, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and other disciplines. It has a wide range of applications in various fields, especially in the field of data analysis has a profound impact. The decision tree is the most basic and widely used algorithm model in machine learning. When doing small and micro enterprise cred...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06Q10/04G06Q30/02
CPCG06Q10/04G06Q30/0202G06F18/241
Inventor 王盼夏良超
Owner ONE CONNECT SMART TECH CO LTD SHENZHEN