A data processing method, device and server

Abstract

The invention discloses a data processing method and device and a server. The method comprises: acquiring identification information texts of click objects of a plurality of users, wherein the identification information text of the click object of each user comprises identification information of at least one click object; performing association training on the identification information in the plurality of identification information texts to obtain word vectors of the identification information in the plurality of identification information texts, wherein the word vectors of the identification information represent a feature of a user who clicks a click object corresponding to the identification information; and performing cluster analysis processing on the click object corresponding to the identification information on the basis of the word vectors of the identifier information to obtain at least one click object group. The invention can accurately and comprehensively implement clustering of click objects.

Description

technical field [0001] The present invention relates to the technical field of Internet communication, in particular to a data processing method, device and server. Background technique [0002] With the rapid development of the Internet era, the Internet has become an indispensable part of people's daily life, and some traffic owners with a large amount of user traffic have naturally become the partners of advertisers for advertising. CPC (Cost Per Click, pay-per-click advertising) is one of the current mainstream advertising charging methods. Under the CPC mode, advertisers only pay for the behavior of users clicking on advertisements. In order to increase the profit share, some traffic owners will hire some accounts to click on the advertisements, so as to increase the click-through rate and increase the profit share. And the clicks of these employment accounts are a kind of false clicks for advertisers, which will not achieve the effect of promotion. Therefore, it is a...

AI Technical Summary

Problems solved by technology

The above-mentioned existing traffic master clustering analysis processing method based on the attribute characteristic information of the traffic master has not yet formed the attribute characteristic information for the newly added traffic master, which leads to the inability to determine the attribute characteristic information of the traffic master. Because of the problem of eigenvectors, there are great limitations in the process of traffic main clustering analysis and processing

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