Click stream data online analyzing method and related device and system

Abstract

The embodiment of the invention discloses a click stream data online analyzing method and a related device and system. The click stream data online analyzing method comprises the steps that click stream data are acquired from an advertisement server; key information is extracted from the click stream data; the click stream type corresponding to the key information is determined; a first time window is determined; according to the click stream type corresponding to the key information and the corresponding relationship between log time corresponding to the key information and the first time window, whether the key information needs to be filtered is determined; and if the fact that the key information does not need to be filtered is determined, the key information is used to generate the training data of an advertising forecast model. According to the technical scheme provided by the embodiment of the invention, the limitation of a processing resource on the acquired training data is reduced; the instantaneity of the advertising forecast model is improved; and the fitness of the advertising forecast model and online real-time data is improved.

Description

technical field [0001] The present invention relates to the technical field of the Internet, and in particular mainly relates to a method for online analysis of click stream data, a related device and a system. Background technique [0002] Advertising push is an important Internet business. [0003] Guangdiantong is an advertising push tool commonly used by operators. Advertisement push tools such as Guangdiantong need to use the user's daily click stream data to train the advertisement delivery prediction model when making advertisement predictions. Existing advertising push tools such as Guangdiantong usually use the training data obtained from offline analysis to train the advertising delivery prediction model. [0004] The inventors of the present invention found in the process of research and practice that at least the following technical problems exist in the prior art: the training data obtained through offline analysis will be limited by processing resources, and ...

AI Technical Summary

Problems solved by technology

[0004] The inventors of the present invention found in the process of research and practice that at least the following technical problems exist in the prior art: the training data obtained through offline analysis will be limited by processing resources, and it is difficult to meet the high real-time requirements of the advertisement placement prediction model training. Requirements, and the advertising prediction model trained based on the training data obtained from offline analysis is sometimes difficult to match the online real-time data well

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