Advertisement putting method and device based on big data analysis and electronic equipment

Abstract

The invention belongs to the technical field of big data, and relates to an advertisement putting method and device based on big data analysis and electronic equipment, and the method comprises the steps: obtaining a corresponding user label for a user who generates a transaction behavior of a target advertisement; Generating a user group portrait according to the obtained user label, wherein theuser group portrait is used for indicating user feature distribution corresponding to a user who generates a transaction behavior for the target advertisement; Carrying out transaction prediction on to-be-released users according to the user feature distribution indicated by the user group portrait to obtain an audience user group; And delivering the target advertisement to the audience user group. According to the advertisement putting method and device based on big data analysis and the electronic equipment, the problem that in the prior art, the accuracy of advertisement putting conducted for different products is not high is solved.

Description

technical field [0001] The present invention relates to the technical field of big data, in particular to an advertisement placement method and device based on big data analysis. Background technique [0002] With the development of Internet technology, more and more clients provide the function of advertising, and the advertisements performed by these clients are often aimed at the user group corresponding to at least one user tag. [0003] It should be understood that during the actual delivery of advertisements, individual users who do not belong to the above-mentioned user groups may also purchase the products recommended by the advertisements. users, which greatly reduces the probability of this individual user being served an advertisement, resulting in low accuracy of advertisement placement. [0004] If for the user label corresponding to an individual user, the user group corresponding to this user label is used as the audience user group, because only the individu...

AI Technical Summary

Problems solved by technology

[0003] It should be understood that during the actual delivery of advertisements, individual users who do not belong to the above-mentioned user groups may also purchase the products recommended by the advertisements. user, which greatly reduces the probability of this individual user being served an advertisement, resulting in low accuracy of advertisement placement

[0004] If for the user label corresponding to an individual user, the user group corresponding to this user label is used as the audience user group, because only the individual user has the possibility to purchase the product, not all users in the user group they belong to will purchase the product possibility, then this will lead to the problem of over-delivery in advertising, which is not conducive to reducing costs for the advertising provider, and is not conducive to improving the delivery experience of the advertising provider

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