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Advertisement recommendation method and device, electronic equipment and storage medium

An advertising and seed technology, applied in advertising, electronic digital data processing, forecasting, etc., can solve the problem of inaccurate advertising recommendation

Inactive Publication Date: 2021-09-10
武汉卓尔数字传媒科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Based on the deficiencies of the above-mentioned prior art, this application provides an advertisement recommendation method and device, electronic equipment, and a storage medium to solve the problem of inaccurate advertisement recommendation for inactive users in the prior art

Method used

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  • Advertisement recommendation method and device, electronic equipment and storage medium
  • Advertisement recommendation method and device, electronic equipment and storage medium
  • Advertisement recommendation method and device, electronic equipment and storage medium

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Embodiment Construction

[0058] Next, the technical scheme in the present application embodiment will be described in the present application, and it is understood that the described embodiments are intended to be described herein, not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative labor premises, all of the present application protected.

[0059] In the present application, relationships such as the first and second, etc. are only used to separate an entity or operation with another entity or an operational area, and there is no requirement or implies anything between these entities or operations. Actual relationship or order. Moreover, the term "comprising", "comprising" or any other variable is intended to cover non-exclusive inclusive, thereby enabling the process, method, article, or device including a series of elements, not only those elements, but al...

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Abstract

The invention discloses an advertisement recommendation method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining archive data and generation data of a target user, wherein the target user belongs to an inactive user, and the generated data is associated data generated between the user and the advertisement; splicing archive data of the target user and the generated data and then performing dimension reduction processing to obtain a feature vector corresponding to the target user; inputting the feature vector corresponding to the target user into a pre-trained recommendation model to obtain a classification result corresponding to the target user, wherein the recommendation model is obtained through training by taking seed users as positive sample users in advance and taking users which are active and are not interested in the target advertisement as negative sample users, and the seed users at least comprise converted users interested in the target advertisement in the active users; and if the classification result is positive, recommending a target advertisement to the target user, wherein the classification result is that the similarity between the forward characterization target user and the seed user meets a preset condition.

Description

Technical field [0001] The present application relates to the field of advertising recommendations, and in particular, there is an advertising recommendation method and device, an electronic device, and a storage medium. Background technique [0002] In order to make more users participate in activities or purchase goods, the corresponding advertisements are recommended to the user, and how to recommend users of users and may be transformed, which can improve the conversion rate of advertisements. [0003] Today's primary use is to obtain user's advertising behavior data, that is, obtain the data generated by the user to operate the advertisement, and convert the user's advertising behavior data to vector, obtain the vector of behavior data corresponding to the user, and then based on each user The vector of the corresponding behavior data is clustering the user by calculating the similarity between the vector users, from the same class cluster to the same class. Finally, the fea...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06Q10/04G06Q30/02G06K9/62
CPCG06F16/9535G06Q10/04G06Q30/0271G06Q30/0277G06F18/213G06F18/24G06F18/214
Inventor 陈程王贺李涵
Owner 武汉卓尔数字传媒科技有限公司