Big data based bid native advertisement reward system for positioning user in real time, and method

A technology of real-time positioning and big data, which is applied in marketing and other directions to achieve the effect of improving the value of advertising, achieving high efficiency, and improving real-time efficiency

Active Publication Date: 2015-08-19
上海宾酷网络科技股份有限公司
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Problems solved by technology

[0004] Aiming at the above-mentioned defects in the prior art, the present invention provides a system and method for bidding native advertising rewards based on b

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  • Big data based bid native advertisement reward system for positioning user in real time, and method
  • Big data based bid native advertisement reward system for positioning user in real time, and method

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[0049] Example

[0050] This embodiment provides a bidding native advertising reward system that efficiently locates user behavior in real time based on big data, including a data collection center, a business management center, a data analysis center, and an advertisement intelligent placement engine;

[0051] among them:

[0052] The data collection center will continuously collect initial user data in the time dimension. The collected initial user data will perform user data modeling and user behavior confirmation based on the required user model configured by the business management center to form usable User data;

[0053] Configure the user characteristics and model parameters that can use user data in the business management center for use by the data analysis center and the intelligent advertising engine;

[0054] The data analysis center is divided into two parts, one is the user data part, and the other is the advertisement data part; when the data collection center transmits...

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Abstract

The invention provides a big data based bid native advertisement reward system for positioning a user in real time. A data acquisition center continuously acquires initial user data in a time dimension to form available user data; a service management center configures user characteristics of the available user data and model parameters; a data analysis center, according to the model parameters of the service management center, carries out corresponding user data proofreading and analyzing in multilayer dimensions to form a user data sample; and an advertisement intelligent putting engine carries out optimization training on the user data sample through a genetic algorithm to form optimized user data and putting advertisement data of the advertisement data portion of the data analysis center for the optimized user data. The invention simultaneously provides a reward method of the big data based bid native advertisement reward system for positioning the user in real time. The system and the method provided by the invention improve the real-time efficiency of big data, enhance the advertisement value influences of advertisers, and have the advantages of focus orientation, directionality, interactivity and the like.

Description

technical field [0001] The present invention relates to efficient massive data algorithms and the field of big data technology, and more specifically, relates to a system and method for bidding native advertising rewards based on big data for real-time positioning of user behaviors for quickly locating users with massive data of Internet advertisements. Background technique [0002] In the Internet advertising industry, due to the exponential growth trend of Internet data, the amount of data is very huge, and the problems of user behavior analysis and user modeling are becoming more and more difficult, which leads to the slow response speed when users locate queries. Slow, long query time, low algorithm efficiency, even when the amount of data is too large and the algorithm efficiency is relatively low, user modeling errors and user positioning failures occur. [0003] However, in the Internet advertising system, in order to make advertisements be released in a timely manner...

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Application Information

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IPC IPC(8): G06Q30/02
Inventor 周晓波
Owner 上海宾酷网络科技股份有限公司
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