Online advertisement classified pushing method and system based on consumer behavior data analysis and classification technology

An online advertisement and classification technology technology, applied in the field of online advertisement classification push method and system thereof, can solve the problem of inability to tap out potential customers online online advertisement push and so on.

Active Publication Date: 2015-11-04
JINJUAN MEDIA TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the defect in the prior art that potential customers cannot be excavated for online advertisement push, and pr

Method used

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  • Online advertisement classified pushing method and system based on consumer behavior data analysis and classification technology
  • Online advertisement classified pushing method and system based on consumer behavior data analysis and classification technology
  • Online advertisement classified pushing method and system based on consumer behavior data analysis and classification technology

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Embodiment Construction

[0085] In order to have a further understanding and understanding of the structural features of the present invention and the effects achieved, the preferred embodiments and accompanying drawings are used in conjunction with detailed descriptions, and the descriptions are as follows:

[0086] like figure 1 As shown, a method for classifying and pushing online advertisements based on consumer behavior data analysis and classification technology according to the present invention includes the following steps:

[0087] The first step is data collection and preprocessing. Collect consumer behavior data from online mobile terminals and establish a data pool, preprocess the data in the data pool, and provide data support for subsequent data analysis and modeling. It includes the following steps:

[0088] (1) Collect data, collect behavior data of consumers from online mobile terminals, and establish a data pool for the behavior data corresponding to consumers. Collect consumer be...

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Abstract

The present invention relates to an online advertisement classified pushing method and system based on a consumer behavior data analysis and classification technology. Compared with the prior art, the online advertisement classified pushing method and system overcome the defect that potential customers cannot be mined to carry out network online advertisement pushing. The online advertisement classified pushing method comprises the following steps of: carrying out data collection and preprocessing, i.e. collecting behavior data of consumers from online mobile terminals, establishing a data pool, carrying out preprocessing operation on the data in the data pool and providing data support for subsequent data analysis and modeling; aiming at the behavior data of the consumers, carrying out modeling, i.e. establishing a topic model facing the behavior data of the consumers so as to mine relations between the consumers and online advertisement categories as well as a purchase time period; and aiming at the consumers, carrying out effective classification and aiming at different consumer categories, pushing the corresponding types of advertisements online. According to the present invention, by collecting the behavior data of the consumers on various mobile terminals, carrying out analysis and modeling on behaviors of the consumers and mining consumption habits of different consumers, effective classification of the consumers is implemented.

Description

technical field [0001] The invention relates to the technical field of data analysis and prediction, in particular to an online advertisement classification push method and system based on consumer behavior data analysis and classification technology. Background technique [0002] With the rapid development of mobile Internet technology, various mobile terminals such as mobile phones, tablet computers, and POS machines are becoming more and more popular and welcomed by the public. They allow people to be free from the constraints of time and space as much as possible, complete consumption behavior anytime and anywhere, and buy the goods they need. According to the "2014 Mobile Internet Data Report" released by TalkingData, by the end of 2014, the number of mobile smart terminal users in my country reached 1.06 billion, an increase of 231.7% compared with 2013; users use the mobile application market for 1458 seconds on average every day. Another data shows that the number o...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
Inventor 李焱金琦黄牧范红黄甜甜
Owner JINJUAN MEDIA TECH CO LTD
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