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An online advertisement classification push method and system based on consumer behavior data analysis and classification technology

An online advertising and data analysis technology, applied in marketing and other directions, can solve the problem of being unable to dig out potential customers and push online advertisements

Active Publication Date: 2018-08-31
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 provide an online advertisement classification push method and system based on consumer behavior data analysis and classification technology to solve the above problems

Method used

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  • An online advertisement classification push method and system based on consumer behavior data analysis and classification technology
  • An online advertisement classification push method and system based on consumer behavior data analysis and classification technology
  • An online advertisement classification push 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 achieved effects, the preferred embodiments and accompanying drawings are used for a detailed description, as follows:

[0086] Such as figure 1 As shown, a kind of online advertisement classification pushing method based on consumer behavior data analysis and classification technology described in the present invention comprises 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, perform preprocessing operations on 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 consumer behavior data from online mobile terminals, and build a data pool for the behavior data corresponding to consumers. Collect consumer behavior data from ...

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Abstract

The invention relates to an online advertisement classification push method based on consumer behavior data analysis and classification technology and a system thereof. Compared with the prior art, the defect that potential customers cannot be excavated for online advertisement push is solved. The present invention includes the following steps: data collection and preprocessing, collecting consumer behavior data from online mobile terminals and establishing a data pool, performing preprocessing operations on the data in the data pool, and providing data support for subsequent data analysis and modeling; Carry out modeling for consumer behavior data, establish a topic model for consumer behavior data, and dig out the connection between consumers and online advertising categories and purchase time periods; effectively classify consumers and target different consumption According to the category of readers, the corresponding type of advertisements will be pushed online. The invention collects behavior data of consumers on various mobile terminals, analyzes and models the behavior of consumers, mines consumption habits of different consumers, and realizes effective classification of consumers.

Description

technical field [0001] The invention relates to the technical field of data analysis and forecasting, 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 popular with the public. They allow people to complete consumption behavior anytime and anywhere without being limited by time and space as much as possible, and buy the commodities they need. According to the "2014 Mobile Internet Data Report" released by TalkingData, as of 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 numbe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
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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