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Content recommendation method, device, equipment and readable storage medium

A content recommendation and content technology, applied in the computer field, can solve the problems of low prediction accuracy, low content recommendation accuracy, one-sided advertisement click rate, etc., and achieve the effect of improving the accuracy.

Active Publication Date: 2020-12-25
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the method of predicting the click-through rate of the user for the advertisement only based on the user's interest is relatively one-sided in predicting the click-through rate of the advertisement, and the prediction accuracy is low, resulting in a low accuracy of content recommendation

Method used

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  • Content recommendation method, device, equipment and readable storage medium
  • Content recommendation method, device, equipment and readable storage medium
  • Content recommendation method, device, equipment and readable storage medium

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Embodiment Construction

[0037] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0038] First, a brief introduction to the nouns involved in the embodiments of this application:

[0039] Artificial Intelligence (AI): It is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the nature of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Artificial intelligence is to study the design principles and implementation methods ...

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Abstract

The invention relates to a content recommendation method, device and equipment and a readable storage medium, and relates to the field of computers. The method comprises the steps of obtaining accountdata of a target account; performing feature extraction on the account information data to obtain account features, and performing feature extraction on the historical behavior data to obtain behavior features; performing feature extraction on the content data of the target content to obtain content features; predicting the fusion features through a click rate prediction model to obtain a prediction probability of clicking the target content by the target account; and under the condition that the prediction probability reaches a probability threshold, recommending the target content to the target account. According to the method, feature extraction and fusion are carried out on account information data indicating target account attributes, content data indicating content attributes and historical behavior data indicating a target account and content interaction process;, and the click rate is comprehensively estimated based on the content recommendation of the predicted click rate ofthe target account to the content, so that the accuracy of content recommendation is improved.

Description

technical field [0001] The present application relates to the computer field, and in particular to a content recommendation method, device, equipment and readable storage medium. Background technique [0002] With the development of science and technology, terminals such as mobile phones and tablet computers have been more and more widely used by users, and the application programs in the terminals can provide users with many conveniences. Advertisements are usually provided and updated in the designated interface of the application program for users to click when they are interested. Before the advertisement is delivered, the user's click rate on the advertisement is usually determined to determine whether to deliver the advertisement to the user. [0003] In related technologies, the user's interest tags are usually generated according to the account information corresponding to the user, and the user's interests are quantified and summarized according to the user's inter...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06Q30/02
CPCG06Q30/0255G06Q30/0277G06F16/9535
Inventor 王韵陶陈炳文
Owner TENCENT TECH (SHENZHEN) CO LTD