Online advertisement pushing method combined with big data analysis and cloud server
An online advertising and big data technology, applied in advertising, neural learning methods, biological neural network models, etc., can solve problems such as difficulty in ensuring online advertisement push and placement, and difficulty in accurately matching online advertisements with push platforms
Active Publication Date: 2021-05-18
上海墨幸文化传播有限公司
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Problems solved by technology
However, it is difficult for the related online advertisement push technology to accurately match the online advertisement with the push platform, and it is difficult to ensure that the online advertisement can be pushed and delivered on the appropriate online multimedia platform
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[0058] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.
[0059] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence.
[0060] The method embodiments provided in the embodiments of the present application may be executed in cloud servers, computer equipment...
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According to the online advertisement pushing method combined with big data analysis and the cloud server disclosed by the embodiment of the invention, on one hand, hot advertisement information in online advertisement content is information with relatively high putting times, so that corresponding advertisement crowd data is relatively stable, and in a training process, the model is relatively high in continuation performance, therefore, the credibility of model training is improved. On the other hand, a training set adopted by advertisement big data processing model training is a multi-dimensional advertisement putting strategy obtained based on multiple pieces of online advertisement information of online advertisement content, so that online multimedia platform matching of the to-be-pushed online advertisement is carried out by utilizing the model obtained through training in the mode; the condition that the online advertisement to be pushed is wrongly matched with the online multimedia platform due to the difference of different online advertisement information can be avoided, so that the online advertisement to be pushed can be pushed and put on the proper online multimedia platform, and the waste of network resources caused by unmatched advertisement pushing behaviors is reduced.
Description
technical field [0001] The disclosure relates to the technical field of big data and advertisement push, and in particular to an online advertisement push method combined with big data analysis and a cloud server. Background technique [0002] With the development of computer technology and the popularization of the Internet, the accumulation of data information has reached a very large level. The growth of data information is also accelerating. With the acceleration of the construction of the Internet and the Internet of Things, data information is growing explosively. [0003] Big data refers to the collection of data that cannot be captured, managed and processed by conventional software tools within a certain period of time. It requires a new processing model to have stronger decision-making power, insight and discovery and process optimization capabilities. Massive, high-growth and diverse information assets. At present, all kinds of enterprises can use relevant big d...
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Login to View More IPC IPC(8): G06Q30/02G06N3/04G06N3/08
CPCG06Q30/0277G06N3/04G06N3/08
Inventor 郭举陈宙
Owner 上海墨幸文化传播有限公司