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User behavior classification method and system thereof

A classification method and classification system technology, applied in the field of user behavior analysis, can solve the problems of unable to realize automatic classification of new users, unable to meet the establishment of travel behavior knowledge base and rule base, etc., to achieve effective and personalized recommendation, easy to understand, easy to achieve effect

Inactive Publication Date: 2017-07-07
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] To sum up, the existing data-based user behavior analysis methods have the following defects: they cannot satisfy the establishment of travel behavior knowledge base and rule base, and cannot realize the automatic classification of new users.

Method used

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  • User behavior classification method and system thereof
  • User behavior classification method and system thereof
  • User behavior classification method and system thereof

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Embodiment Construction

[0030] In order to make the object, technical solution and advantages of the present invention 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.

[0031] see figure 1 , is a flow chart of the user behavior classification method according to the embodiment of the present invention. The user behavior classification method in the embodiment of the present invention comprises the following steps:

[0032] Step 100: Construct big data on travel user behavior;

[0033] In step 100, constructing big data of travel user behavior includes constructing travel user personal information, user travel information, user consumption information and other relevant information; wherein, travel user personal information includes certificates, age, gender and ...

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Abstract

The invention belongs to the user behavior analysis technology field and especially relates to a user behavior classification method and a system thereof. The user behavior classification method comprises the following steps of step a, according to user behavior data, constructing a user-behavior multidimensional description table, and according to the user-behavior multidimensional description table, carrying out classification annotation on a user; step b, according to the multidimensional description table and user classification, constructing a classification model, and according to the classification model, constructing a user behavior knowledge base and a rule base; and step c, collecting new user data, and through the user behavior knowledge base and the rule base, carrying out automatic classification on a new user. In the invention, through constructing a travel behavior knowledge base and the rule base of the user, based on the travel behavior knowledge base and the rule base, the new user can be automatically classified and rapid construction of a new user portrait is realized; and aiming at a distinctive user behavior type, a correlation product is recommended and effective and customized recommending of the product can be realized so that advertisement incomes of an enterprise are increased.

Description

technical field [0001] The invention belongs to the technical field of user behavior analysis, and in particular relates to a user behavior classification method and system. Background technique [0002] A major application of big data is to analyze user behavior and provide personalized push services, analyze user needs or upcoming things based on user historical behavior, explore user behavior, and use certain technical means to analyze these behaviors, Finally, user behavior is provided to marketers or other fields as reference data. For example, by comparing the usage characteristics of users of various tariff levels, we can obtain the characteristics of users with high tariffs surfing the Internet, find target users, and transfer users to high tariffs through business guidance and tariff strategies. For another example, through the analysis of the characteristics of the business types used by government and enterprise customers, the business pilot series products are m...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06Q30/02
CPCG06Q30/0201G06F18/2411G06F18/24323
Inventor 陈会李超高琴姜青山赵鹤李栋一
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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