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Mobile phone advertising method based on user consumption feature vector

A technology of consumption characteristics and mobile advertising, which is applied in special data processing applications, instruments, electronic digital data processing, etc., and can solve the problems of unknown target users' consumption ability and consumption tendency, the accuracy of subdivision cannot be guaranteed, and user data cannot be obtained. Real-time update and other issues to achieve the effect of increasing advertising revenue, reducing manual intervention, and reducing operating costs

Inactive Publication Date: 2013-09-11
上海师域信息科技有限公司
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  • Summary
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] These methods of segmenting users based on simple static data not only cannot update user data in real time, the accuracy of segmentation cannot be guaranteed, but also do not know the real consumption ability and consumption tendency of target users, and the Cannot achieve real precise delivery

Method used

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  • Mobile phone advertising method based on user consumption feature vector

Examples

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example

[0047] Suppose there is such a business scenario, the user uses a mobile terminal to request access to different page content through the wireless operator, and the wireless operator returns the page requested by the user to the user terminal; the user information that can be collected includes: the user's request information, how to When logging in, the order of visiting web pages and other information, as well as the page information returned by the operator to the user. At this time, an advertiser of mother and baby users intends to deliver marketing information about the brand to potential users during the Children's Day.

[0048] Example calculation process:

[0049] 1) Accumulate the content information of each user's visit page that can be collected, segment the page content into words, obtain the user keyword list according to the frequency of words, and assign different weights to each word, that is, obtain a two-dimensional tuple representation Quantified user keywo...

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PUM

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Abstract

The invention discloses a mobile phone advertising method based on a user consumption feature vector, and belongs to the field of mobile phone data mining and analyzing. The method includes the steps of establishing a user keyword to represent a vector according to browsing contents of a user mobile internet; establishing a user consumption feature vector of a corresponding user according to the browsing contents of the mobile internet; extracting a keyword from an advertisement experience text database and setting a keyword weight, and constructing a characteristic matrix for each user feature vector; computing each component value of the user consumption feature vector of each user; setting the mapping relations between a user consumption tag and each component of the consumption feature vector of the user within different threshold ranges; labeling a corresponding consumption tag for each user and then conducting advertising according to each component of the current consumption feature vector of the user and the mapping relation. The mobile phone advertising method can improve precision of advertising, reduces manual interference, and effectively lowers platform running cost.

Description

technical field [0001] The invention relates to a mobile phone advertisement delivery method based on user consumption feature vectors. It belongs to the field of mobile advertising, telecommunication business, data mining and analysis. Background technique [0002] Mobile phones are personal media, so the analysis of mobile phone users and the mechanism of do not disturb become very important. Because of the personal media attributes of mobile phones, mobile advertising can be more accurate and more in line with the requirements of advertisers. [0003] However, at present, the user data analysis systems of various mobile advertising platforms often only use the geographical location and time of the user (direct memory access), mobile phone attributes (including mobile phone model, mobile operating system, etc.) and demographic characteristics (based on a small number of registration information) to provide advertisers with a reference for delivery. There are also some o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06F17/30
Inventor 金利杰庞丽荣刘程丽
Owner 上海师域信息科技有限公司
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