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Content recommendation method and device, equipment, medium and computer program product

A technology for recommending methods and content, applied in the computer field, can solve the problems of large hyperparameter space, low accuracy, low efficiency, etc., achieve the effect of accurate weight relationship and maximize long-term satisfaction

Pending Publication Date: 2022-04-08
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, manual setting of parameters and grid search hyperparameters have a large space, high cost of obtaining user feedback, and rely heavily on expert knowledge, so the efficiency of parameter determination is low, and the corresponding recommendation model is limited to the user's preference for the current recommendation degree, resulting in low accuracy when the recommendation system recommends content

Method used

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  • Content recommendation method and device, equipment, medium and computer program product
  • Content recommendation method and device, equipment, medium and computer program product
  • Content recommendation method and device, equipment, medium and computer program product

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Embodiment Construction

[0032] 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.

[0033] First, a brief introduction to the nouns involved in the embodiments of the present application:

[0034] Artificial Intelligence (AI) 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 metho...

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PUM

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Abstract

The invention discloses a content recommendation method and device, equipment, a medium and a computer program product, and relates to the technical field of computers. The method comprises the following steps: acquiring target data of a target account; based on the state transition condition corresponding to the target data, parameters of the weight search model are trained, and candidate model parameters are obtained; based on the current state information of the target account, searching weights corresponding to the at least two evaluation indexes through a target weight search model to obtain a target weight relationship between the at least two evaluation indexes; and fusing the at least two evaluation indexes through the target weight relationship to obtain recommended content pushed to the target account. Maximization of long-term satisfaction of a user can be taken as an optimization target, so that a weight search model for determining an evaluation index can provide a more accurate weight relationship.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a content recommendation method, device, equipment, medium and computer program product. Background technique [0002] The recommendation system is an indispensable part in the process of users obtaining information (such as products, articles, pictures, videos, etc.). The recommendation system sorts the content to be recommended to determine the content recommended to the user. Wherein, when sorting the content to be recommended, generally, the user's predictive index of the content to be recommended is used as the sorting standard. [0003] In related technologies, if there are multiple predictive indicators, it is necessary to determine the weight relationship of each indicator when sorting the content to be recommended, and the method of determining the weight parameters generally includes manually setting parameters, network search hyperparameters, and the like....

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06K9/62G06N3/04G06N3/08
Inventor 张启华刘军宁戴渝卓郑昆仑黄帆袁逸凡谭显锋齐逸岩
Owner TENCENT TECH (SHENZHEN) CO LTD