Content recall method, computing device, and computer-readable storage medium
A content and user technology, applied in the field of content recall method, computing equipment and computer-readable storage medium, can solve the problem of difficulty in learning user interests
Active Publication Date: 2022-04-12
上海任意门科技有限公司
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Problems solved by technology
Through these methods, the solution of the present invention solves the problem of difficulty in learning user interests during the recall phase on a large-traffic social platform in a decentralized scenario, and can provide users with more accurate content recommendations
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[0028] Preferred embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that the present invention will be thorough and complete, and will fully convey the scope of the present invention to those skilled in the art.
[0029]In the following description, for the purposes of illustrating various inventive embodiments, certain specific details are set forth in order to provide a thorough understanding of various inventive embodiments. One skilled in the relevant art will recognize, however, that an embodiment may be practiced without one or more of these specific details. In other instances, well-known devices, structures and techniques associated with the presen...
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The present disclosure provides a content recall method, computing device, and computer-readable storage medium. The method includes: determining a training sample of a user based on a streaming log of a social platform; training a first neural network model based on the first training sample to generate a first training target vector; Two neural network models are trained to generate a second training target vector; the training output of the training sample is determined based on the first training target vector and the second training target vector, so as to compare the first neural network model and the second training target vector. respectively updating the weight function of the second neural network model; and calculating the scores of the plurality of candidate contents based on the trained first neural network model and the second neural network model respectively to determine a recall result from the plurality of candidate contents.
Description
technical field [0001] The present invention generally relates to the field of machine learning, and more specifically, relates to a content recall method, a computing device, and a computer-readable storage medium. Background technique [0002] With the continuous development of various social platforms, more and more users obtain various information through these social platforms. Usually, when a user logs in to a social platform, the server of the social platform recommends some content to the user and displays it on the user terminal. However, a large amount of content is generated on social platforms all the time, and the amount of content that can be displayed by user terminals is limited, and if several items in the head cannot arouse the user's interest, the user is likely to turn to other forums or other platforms. Therefore, how to display the content that best matches the user's interests in a limited head position is an important means to improve the content rec...
Claims
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IPC IPC(8): G06F16/9536G06F16/901G06N3/04G06N3/08G06Q50/00
CPCG06F16/9536G06F16/9014G06N3/084G06Q50/01G06N3/048G06N3/045
Inventor 黄清纬彭飞唐文斌
Owner 上海任意门科技有限公司