Method and device for recommending target users for advertising

Abstract

The embodiment of the invention provides a target user recommendation method and device for advertisement putting, and the method comprises the steps of obtaining a plurality of data units in advance,and carrying out the clustering of the plurality of data units according to the industry; obtaining a target industry of advertisement putting, and selecting a set number of data units with high recommendation degrees in the data classes of the corresponding industries as first to-be-recommended data units according to the target industry; selecting the data unit with the highest similarity withthe data unit with the highest recommendation degree in the data classes of the corresponding industries as a second to-be-recommended data unit; and recommending the first to-be-recommended data unitand the second to-be-recommended data unit to an advertisement user. According to the technical scheme of the invention, the recommendation of the data units has industry pertinence through the setting of clustering and recommendation degrees, and through the recommendation of similar data units among the industries, the view field of advertising of an advertiser is continuously expanded, more possibilities are found, and a simple and effective advertising method is provided for the advertiser.

Description

Technical field [0001] The invention relates to the field of Internet advertising, in particular to a target user recommendation method and device for advertising. technical background [0002] The task of social software advertising is to deliver the advertisements delivered by advertisers to the appropriate users on time and in quantity. [0003] In the prior art, the advertisement delivery terminal generally uses feature orientation to find users, such as setting the orientation of an advertisement to [Location: Beijing]. At this time, if there are users who meet this condition to access social software, the advertisement delivery terminal will deliver the above advertisements to these users. [0004] Another way is to deliver advertisements through crowd packs, that is, advertisers can select some specific groups of people (that is, crowd packs) and only deliver advertisements to these specific groups of people. Crowds can be some users collected by advertisers themselves, bo...

AI Technical Summary

Problems solved by technology

[0005] The disadvantage of using feature-targeted advertising is that it is difficult to meet the requirements of accuracy and the number of users at the same time, because if you want to deliver accurately, you need to set a lot of targeting dimensions that are very demanding. At this time, users who can meet the conditions number will decrease

For example, when an advertiser places a car advertisement, the targeting condition set is [Location: Beijing] in the above example. Obviously, there will be many people who meet this condition, but not all of these people are interested in cars. To improve the accuracy of orientation, set the orientation condition to [location: Beijing, male, 20-40 years old, interest: car peripherals, consumption level: high consumption], the proportion of people interested in cars has increased, but the absolute number has decreased. will plummet

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