Method and system for prediction of advertisement clicking rate

A click-through rate and advertising technology, applied in the network field, can solve problems such as unbalanced sample data and affect the accuracy of click-through rate prediction, and achieve the effect of speeding up processing, improving accuracy and pertinence, and reducing burden

Inactive Publication Date: 2012-09-12
亿赞普(北京)科技有限公司
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Problems solved by technology

[0008] This application provides a method and system for predicting the click-through rate of advertisements to solve the proble

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  • Method and system for prediction of advertisement clicking rate
  • Method and system for prediction of advertisement clicking rate
  • Method and system for prediction of advertisement clicking rate

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[0045] In order to make the above objects, features and advantages of the present application more obvious and comprehensible, the present application will be further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0046] In the prior art, the ratio between the clicked data and the unclicked data in the original sample set is seriously unbalanced, which causes the prediction result of the prediction model to be biased towards the unclicked data, thereby affecting the performance and accuracy of the click rate prediction.

[0047] This application optimizes the original sample set to build a training sample set, uses the sample data in the training sample set with a relatively balanced ratio to build a prediction model, uses the prediction model to predict the test sample set, and can predict the user's response to each advertisement. Click-through rate, at this time, the prediction model will not be biased towards u...

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Abstract

The invention provides a method and a system for prediction of advertisement clicking rate to solve a problem of accuracy of the clicking rate prediction affected by seriously imbalanced sample data in the original sample set. The method comprises: extracting sample data to construct an original sample set, wherein the sample data comprises clicked data and unclicked data of users; constructing a training sample set by carrying out sampling on the original sample set; constructing a prediction model by using the sample data in the training sample set as model parameters; and predicting the user clicking rate of each kind of advertisement by utilizing the prediction model to predict the testing sample set. The method and the system in the invention can eliminate the problem of serious imbalance of the proportion between the clicked data and the unclicked data in the original sample set and construct a relatively balanced training sample set. The method and the system improve recognition rate of the prediction model on the clicked rate and improve the accuracy of clicking rate prediction.

Description

technical field [0001] The present application relates to network technology, in particular to a method and system for predicting the click-through rate of advertisements. Background technique [0002] The rise of the Internet allows people to see different advertisements when browsing the same page, which can realize the personalized display of advertisements. By testing the click-through rate, we can understand the advertisements that different users are interested in, so as to display the corresponding advertisements to each user more accurately, so as to increase the click-through rate of advertisements, improve the effect of advertisement delivery and page visits. [0003] When testing the click-through rate, it is necessary to analyze and model the historical delivery effect. First of all, sample data should be extracted to construct the original sample set and predict the click-through rate, so the sample data includes the user's click data and non-click data. In th...

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Application Information

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IPC IPC(8): G06Q30/02G06F17/30
Inventor 罗峰黄苏支李娜
Owner 亿赞普(北京)科技有限公司
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