Online advertisement recommending system and method for large-scale medium data

A technology for media data and online advertising, applied in the field of computational advertising, can solve problems such as being unsuitable for online advertising recommendation, unable to recommend advertising, etc., to achieve the effect of improving self-learning ability and intelligence level, improving prediction speed, and ensuring accuracy

Active Publication Date: 2014-07-30
武汉烽火普天信息技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At this scale, it is almost impossible to use traditional exact matching methods to recommend ads online
Therefore, the traditional exact match query method is not suitable for online advertising recommendation in the context of big data

Method used

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  • Online advertisement recommending system and method for large-scale medium data
  • Online advertisement recommending system and method for large-scale medium data
  • Online advertisement recommending system and method for large-scale medium data

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Experimental program
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Embodiment Construction

[0043] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0044] Such asfigure 1 As shown, the present invention is an online advertisement recommendation system for large-scale media data, including an advertisement management module 1, an advertisement retrieval module 2, a user behavior mining module 3, a user behavior query module 4, a web page management module 5, and a traffic analysis module 6 And the advertisement scheduling engine module 7 connected with the client. The advertisement scheduling engine module 7 is respectively connected with the user end, the advertisement management module 1 and the traffic analysis module 6 . The traffic analysis module 6 performs parameter exchange with the advertisement retrieval module 2, the user behavior query module 4, and the webpage management module 5 respectively. The user behavior mining module 3 is respectively connected with the advertisement m...

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PUM

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Abstract

The invention provides an online advertisement recommending system and method for large-scale medium data and relates to the technical field of the calculation advertisement science. An advertisement dispatch engine module in the online advertisement recommending system is respectively connected with a user side, an advertisement management module and a flow analysis module. Parameter exchange is carried out between the flow analysis module and an advertisement searching module, a user behavior inquiry module and a webpage management module. A user behavior mining module is respectively connected with the advertisement management module and the user behavior inquiry module. The advertisement management module is connected with the advertisement searching module. According to the online advertisement recommending method, when a user finish accessing a webpage, the user is identified according to user information, user interests are inquired, user behaviors are learned, matched advertisements are searched for according to the predicted user behaviors, and finally the online advertisements are recommended to the user. The system has the good self-learning ability, can effectively improve the intelligent level of advertisement recommendation, and is suitable for online advertisement recommendation under the background with the large-scale data.

Description

technical field [0001] The invention relates to the technical field of computational advertising, in particular to an online advertising recommendation system and method for large-scale media data. Background technique [0002] Using advertising banners, text links, multimedia, etc. on the website to publish or publish advertisements on the Internet, and then deliver them to Internet users through the Internet, compared with the traditional advertising of the four major media (newspapers, magazines, television, and radio) , Internet advertising has unique advantages and is an important means of implementing modern marketing media strategy. [0003] At present, the representative advertising form of Internet advertising is e-commerce personalized recommendation advertisement. This form of advertising mainly predicts the user's possible click tendency by building an accurate matching table based on the user's browsing history. This advertising delivery method is a scanning s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06F17/30
Inventor 糜万军金俏李军李馥岑邱建刚杨绪升
Owner 武汉烽火普天信息技术有限公司
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