Method for designing advertisement click rate prediction system in mobile application

An advertisement click and prediction system technology, applied in the Internet field, can solve the problem of large number of candidate features, etc., and achieve the effect of short time-consuming feature selection, high work efficiency, and reduced number of iterations

Active Publication Date: 2020-01-14
北京大学(天津滨海)新一代信息技术研究院
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However, the number of features used in the click-through rate prediction model of the pri

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  • Method for designing advertisement click rate prediction system in mobile application
  • Method for designing advertisement click rate prediction system in mobile application
  • Method for designing advertisement click rate prediction system in mobile application

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[0054] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0055] Those skilled in the art can understand that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meanings as those commonly understood by those of ordinary skill in the art to which the present invention belongs. It should also be understood that terms such as those defined in a general dictionary should be understood as having a me...

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Abstract

The invention discloses a method for designing an advertisement click rate prediction system in a mobile application. The method comprises the following steps: carrying out integration, cleaning and transformation preprocessing on advertisement data; generating features by using the preprocessed advertisement data and constructing a feature complete set; carrying out effective feature selection onthe feature complete set, and selecting an effective feature set; and training an advertisement click rate prediction model by using the effective feature set. According to th method for predicting an advertisement click rate in a mobile application, the long-tail data in the advertisement data is classified according to the similarity and the data valuing frequency, so that the defect that information hidden in the long-tail data cannot be effectively utilized in the prior art is overcome, the information in the long-tail data is fully utilized, and the prediction effect is improved.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method for designing a click rate prediction system for advertisements in mobile applications. Background technique [0002] In recent years, with the rapid development of the mobile Internet, a mobile ecosystem composed of developers, application markets, users, advertisers and other roles has gradually formed. In this ecosystem, mobile in-app advertising is one of the main sources of revenue for mobile applications, and accurate advertising placement is the key to increasing advertising revenue. The focus of improving the click-through rate of advertisements is to construct an effective prediction model of click-through rate of advertisements to find the most matching advertisements for users. As one of the key technologies for accurate advertisement placement, advertisement click-through rate prediction has attracted extensive attention from academia and industry. [...

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Application Information

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IPC IPC(8): G06Q30/02
CPCG06Q30/0242G06Q30/0277G06Q30/0251
Inventor 刘譞哲马郓吕广利陈震鹏陆璇
Owner 北京大学(天津滨海)新一代信息技术研究院
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