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Advertisement click rate estimation method and device

An advertisement click and probability technology, applied in the computer field, can solve the problems of limited expression ability and low accuracy of advertisement click rate estimation, and achieve the effect of improving accuracy

Active Publication Date: 2019-11-05
ALIBABA (CHINA) CO LTD
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, the linear discriminant model of the prior art is used to predict the click-through rate of advertisements. Due to the simplicity of the model and limited expressive ability, the accuracy of the click-through rate estimation of advertisements is not high.

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  • Advertisement click rate estimation method and device
  • Advertisement click rate estimation method and device

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Embodiment Construction

[0053] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0054]The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects and not necessarily Describe a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of practice in sequences other than ...

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Abstract

The invention provides an advertisement click rate estimation method and device. The method comprises steps of receiving request message, wherein the request message comprises discrete features; carrying out feature extraction according to the discrete features and the mapping relation table; obtaining a continuous value expression vector corresponding to the discrete feature; loading the first deep neural network model and the continuous value expression vector to a classifier; obtaining the advertisement click rate corresponding to the continuous value expression vector, and due to the factthat the corresponding relation between the discrete features and the continuous value expression vector is stored in the mapping relation table, the continuous value expression vector corresponding to the discrete features can be directly found through the mapping relation table, and the advertisement click rate estimation accuracy is improved.

Description

technical field [0001] The invention relates to computer technology, in particular to a method and device for predicting the click-through rate of an advertisement. Background technique [0002] Advertisement click-through rate prediction (Click-Through Rate Prediction, CRP) is to analyze the historical data of user search and click behavior to predict the probability of the user clicking on a specific advertisement under the current specific state. [0003] In the prior art, a simple linear discriminant model is usually used to predict the click-through rate of advertisements, such as: Logistic Regression (LR) model, Factorization Machines (FM) model, Matrix Factorization (MF ) model or Gradient Boost Decision Tree (Gradient Boost DecisionTree, GBDT) model, etc. [0004] However, the linear discriminant model of the prior art is used to predict the click-through rate of advertisements. Due to the simplicity of the model and limited expressive ability, the accuracy of the c...

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Application Information

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IPC IPC(8): G06Q30/02G06K9/62
CPCG06Q30/0255G06F18/2413
Inventor 赵磊张秀武姚春念
Owner ALIBABA (CHINA) CO LTD