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Method, apparatus, computer device and storage medium for predicting click rate

A technology for predicting points and click-through rates, applied in the computer field, can solve the problems of low click-through rate accuracy, difficulty in guaranteeing click-through rate accuracy, and high complexity

Pending Publication Date: 2019-01-04
TENCENT TECH (BEIJING) CO LTD
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AI Technical Summary

Problems solved by technology

However, due to the high complexity of the user characteristics of the user and the content characteristics of the content, and the prediction scenarios suitable for the prediction model are limited, it is difficult to guarantee the accuracy of the predicted click-through rate, making the accuracy of the predicted click-through rate relatively low. Low

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  • Method, apparatus, computer device and storage medium for predicting click rate
  • Method, apparatus, computer device and storage medium for predicting click rate
  • Method, apparatus, computer device and storage medium for predicting click rate

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Embodiment Construction

[0043] The scheme of the present application is suitable for predicting the click probability (also called click-through rate) of a user on an object (such as news, advertisements, articles, etc.), and is conducive to improving the accuracy of the predicted click probability of the user on the object content .

[0044] The inventors of the present application have found through research that: currently, when predicting the click-through rate, a prediction model is generally pre-trained, and then the prediction model is used to predict the input features to be predicted, so as to obtain the corresponding click probability. Since the internal parameters in the trained prediction model are fixed, the prediction model adopts the same prediction standard for any input feature, and the prediction scenarios suitable for the same prediction standard are very limited, so the prediction model based on this prediction model is not suitable. Predicting the click-through rate for any input...

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Abstract

The present application discloses a method, apparatus, computer device and storage medium for predicting click rate. In the method, the steps are included: the computer device obtaining input characteristics for predicting click probability of a target user to a target object; according to the input characteristic, determining a fitness degree of a plurality of prediction models for predicting theclick probability; using the plurality of prediction models to predict the prediction click-through rates corresponding to the input features respectively; the click probability of the target user tothe target object being determined according to the predicted click probability predicted by the plurality of prediction models and the corresponding fitness of the plurality of prediction models. The scheme of the present application can improve the accuracy of predicting the click probability of a user to a certain content.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a method, device, computer equipment and storage medium for predicting click rate. Background technique [0002] The click-through rate refers to the ratio of the number of times a certain content (such as news, advertisement or product details page, etc.) in a web page is clicked by the user to the number of times it is displayed, and it reflects the probability of the content being clicked by the user. By predicting the click rate of a user on a certain content, a basis can be provided for whether to recommend information related to the content to the user. [0003] When predicting a user's click rate on a certain content, it is generally based on the user's user characteristics (such as user age, gender, etc.) and the content characteristics of the content (such as the category of content, keywords contained in the content, etc.), It is also possible to combin...

Claims

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Application Information

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IPC IPC(8): G06F16/958
Inventor 陈晓爽郑胤赵沛霖马文晔黄俊洲
Owner TENCENT TECH (BEIJING) CO LTD
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