Click-through rate estimation method, device, computing apparatus, and storage medium

A click-through rate and prediction model technology, applied in the field of Internet applications, can solve problems such as poor accuracy of prediction results, high manpower and time costs, and limited learning ability of linear models, so as to achieve strong interpretability and reduce the impact of subjectivity Effect

Inactive Publication Date: 2018-05-18
ALIBABA (CHINA) CO LTD
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Problems solved by technology

[0004] The current click-through rate estimation method uses artificial feature engineering combined with logistic regression algorithm, first extracts the relevant features of the keywords input by the user and candidate advertisements, and inputs the relevant features into the linear model to obtain the click-through rate of the corresponding advertisement, but the extraction of relevant features High manpower and time costs are required
Moreover, this method is too subjective and easy to screen out a large number of useless features to affect the accuracy of model evaluation, and the logistic re

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  • Click-through rate estimation method, device, computing apparatus, and storage medium
  • Click-through rate estimation method, device, computing apparatus, and storage medium
  • Click-through rate estimation method, device, computing apparatus, and storage medium

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[0069] Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0070] In order to make the click-through rate estimation method simpler and more convenient, the present invention provides a new click-through rate estimation scheme. A feature evaluation network model is established based on user characteristics and item characteristics, and the click-through rate estimation is performed using the model.

[0071] The technical solution of the present invention will be described in detail below with refere...

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Abstract

The invention provides a click-through rate estimation method, a click-through rate estimation device, a computing apparatus, and a storage medium. The method includes the following steps that: a feature evaluation network with user features and item features adopted as nodes is established; a click-through rate estimation model is established based on the feature evaluation network; and the click-through rate of users for an item can be estimated based on the click-through rate estimation model. Thus, the click-through rate estimation model can reflect a relationship between the user featuresand the item features in the form of a network, so that the click-through rate of an advertisement can be easily estimated.

Description

technical field [0001] The invention relates to the technical field of Internet applications, in particular to a click rate estimation method and device. Background technique [0002] Click-through rate estimation has a wide range of applications in computational advertising, recommendation systems, and other fields. By making statistics on the click-through rate of advertisements, it is possible to understand the advertisements that different users are interested in, so as to push advertisements to each user more accurately, so as to increase the click-through rate of advertisements. Accurate advertising click-through rate estimation can improve the real advertising click-through rate, thereby increasing advertising revenue. [0003] According to different advertising data characteristics, different advertising click-through rate estimation models can be used to obtain better estimation results. Advertisement click-through rate prediction models such as logistic regressio...

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Application Information

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IPC IPC(8): G06Q10/04G06Q30/02
CPCG06Q10/04G06Q30/0242G06Q30/0277
Inventor 潘岸腾
Owner ALIBABA (CHINA) CO LTD
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