Mixed learning model-based DSP real-time bidding advertisement system

A bidding advertisement and blended learning technology, applied in the computer field, can solve the problems of lack of historical data, anti-cheating, lack of flexibility, etc.

Pending Publication Date: 2017-08-18
BEIJING ZHANGKUO MOBILE MEDIA TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] 2. Anti-cheating technology
[0038] Currently, DSPs based on RTB bidding lack enough flexibility in the use of key CTR prediction models for advertising. Many of them are based on historical data and use offline machine learning techniques to train CTR prediction models. For a new DSP Or for the newly docked ADX, there is a lack of historical data to train the m...

Method used

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  • Mixed learning model-based DSP real-time bidding advertisement system
  • Mixed learning model-based DSP real-time bidding advertisement system
  • Mixed learning model-based DSP real-time bidding advertisement system

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Embodiment Construction

[0074] The implementation of the present invention will be described in detail below in conjunction with the accompanying drawings and examples, so as to fully understand and implement the process of how to apply technical means to solve technical problems and achieve technical effects in the present invention. It should be noted that, as long as there is no conflict, each embodiment and each feature in each embodiment of the present invention can be combined with each other, and the formed technical solutions are all within the protection scope of the present invention.

[0075] In addition, the steps shown in the flow diagrams of the figures may be performed in a computer system, such as a set of computer-executable instructions, and, although a logical order is shown in the flow diagrams, in some cases, the sequence may be different. The steps shown or described are performed in the order herein.

[0076] CPM: It becomes a CPM for every thousand times an advertisement is di...

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Abstract

The invention discloses a mixed learning model-based DSP real-time bidding advertisement system. The system comprises an RTB advertisement bidding engine module, an offline model training module and an online model training module, wherein the RTB advertisement bidding engine module is connected with the offline model training module and the online model training module, calls a CTR prediction engine to predict a CTR value of a corresponding advertisement in combination with a CRT model generated by one or two of the offline model training module and the online model training module, and performs corresponding advertisement release.

Description

technical field [0001] The invention belongs to a DSP real-time bidding advertisement system based on a mixed learning model, and belongs to the field of computers. Background technique [0002] Advertisers' demand for mobile programmatic buying is also increasing, which promotes the overall development of the mobile programmatic buying market. Programmatic buying is one of the important channels for developers to monetize traffic. Developers are more willing to open inventory resources. Some star apps hero App actively shift resources to programmatic buying, which promotes the market size. DSP provides advertisers with a With a comprehensive operating platform, advertisers can manage the traffic sources of multiple channels through one platform, avoiding the waste of resources caused by complicated media buying methods. DSP can use RTB to purchase advertisements on demand in real time from the advertising exchange platform. and an audience-centric buying model [0003] T...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
CPCG06Q30/0273
Inventor 胡云志
Owner BEIJING ZHANGKUO MOBILE MEDIA TECH
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