A machine learning-based advertising recommendation method and system
A technology of machine learning and recommendation methods, applied in neural learning methods, advertising, biological neural network models, etc., can solve the problems of prolonging, reducing user experience, wasting computing time of computing resources, etc., to improve operating efficiency, avoid computing time, Avoid wasteful effects
Active Publication Date: 2021-11-30
北京龙云科技股份有限公司
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Problems solved by technology
[0006] The purpose of the present invention is to provide a machine learning-based advertising recommendation method and system to solve the problem that in the prior art, synchronous updating of advertising recommendations for all users will only result in waste of computing resources and prolonging of computing time, reducing the cost of the recommendation system. Operational efficiency, technical issues that ultimately degrade user experience
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[0063] Next, the technical solutions in the embodiments of the present invention will be described in connection with the drawings of the embodiments of the present invention, and it is understood that the described embodiments are merely the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art are in the range of the present invention without making creative labor premise.
[0064] like figure 1 As shown, the present invention provides a mechanical learning-based advertising recommendation method, including the following steps:
[0065] Step S1 Advertising advertising recommendation plan;
[0066] In step S1, the establishment of the recommended feature collection includes:
[0067] The user characteristics, advertising features, and cross-feature are linearly combined to obtain memory features, and the operation formula of linear combination is:
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The invention discloses a machine learning-based advertising recommendation method and system, comprising the following steps: step S1, constructing an advertising recommendation model; step S2, setting monitoring coefficients for the recommended feature set, and updating the target based on the monitoring coefficients The user's advertisement recommendation scheme; step S3 , providing advertisement recommendation opinions to the target user at the advertisement push terminal based on the advertisement recommendation scheme and revising the advertisement recommendation model. The present invention obtains the interest migration information of the target user by setting the monitoring coefficient, and recommends and updates the users whose interests have migrated. It is not necessary to recommend and update the users who have not experienced the interest migration, and the original recommendation scheme can be used, which can avoid The advertisement recommendation of all users is updated synchronously, resulting in the waste of computing resources and the prolongation of computing time, effectively improving the operating efficiency of the recommendation system, and making accurate and diverse advertisement recommendations closely following the interests of users as a whole.
Description
Technical field [0001] The present invention relates to the field of advertising recommendations, and in particular, a machine-based advertising recommendation method and system. Background technique [0002] The value of machine learning is mainly concentrated in data steering and data processing capabilities, and so on. Today, today, the arrival of the big data era, the conversion of data, the data of data processing data has brought better technical support, the industrial upgrade and the new industry have formed a promotion forces, so that big data can be Automatic planning for programs that can be found, realizing the coordination between human users with computer information. [0003] With the development of Internet technology, information, life, entertainment, and work have become part of people's lives through the Internet. In order to improve the visibility and promotion of goods, the merchant often passes the advertisement through the Internet, and the famous advertisi...
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IPC IPC(8): G06Q30/02G06N3/04G06N3/08
CPCG06Q30/0271G06Q30/0277G06N3/08G06N3/048G06N3/045
Inventor 朴志鹏
Owner 北京龙云科技股份有限公司