The click prediction method and device based on artificial intelligence

A technology of artificial intelligence and click-through rate, applied in the network field, can solve the problem of low accuracy of click-through rate of entities to be recommended, and achieve the effects of improving user experience, accurate service, and service quality

Active Publication Date: 2017-01-18
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] However, the above-mentioned form of using the LR model to determine the click-through rate of the entity to be recomme

Method used

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  • The click prediction method and device based on artificial intelligence
  • The click prediction method and device based on artificial intelligence
  • The click prediction method and device based on artificial intelligence

Examples

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Embodiment Construction

[0030] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary, and are intended to explain the present application, and should not be construed as limiting the present application.

[0031] The artificial intelligence-based click estimation method and device according to the embodiments of the present application will be described below with reference to the accompanying drawings.

[0032] figure 1 is a flow chart of an artificial intelligence-based click estimation method according to an embodiment of the present application.

[0033] Such as figure 1 As shown, the artificial intelligence-based click estimation method includes:

[0034] Step 101, according to the query sentence input by the user, att...

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Abstract

The application proposes a click predictor method and device based on artificial intelligence. And the method includes: according to the query user input, obtain attributes information of the entity to be recommended; make segmentation processing respectively to the query and attributes information of the entity to be recommended, determine the feature of the query and entity to be recommended; determine the clicking rate of the entity to be recommended using default deep neural network model, according to the query and the feature of entity to be recommended. Therefore, integrating the extracted features into the deep neural network model, predicting the click rate of entity to be determined, can improve the accuracy of the click rate prediction, so that the recommendation system can provide service to the user accurately, improving the service quality of the recommendation system and the user experience.

Description

technical field [0001] The present application relates to the field of network technology, in particular to an artificial intelligence-based click estimation method and device. Background technique [0002] Artificial Intelligence (Artificial Intelligence), the English abbreviation is AI. It is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems, etc. [0003] Click through rate (CTR) estimation is one of the classic problems in the application of big data technology. An important aspect of click-through rate estimation is to ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/95G06F16/9535
Inventor 闭玮陈泽裕石磊何径舟
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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