Digital content delivery method based on deep machine learning
A technology of digital content and machine learning, applied in the field of communication, can solve problems such as low accuracy rate, achieve the effect of improving accuracy rate and efficiency, and realizing precise delivery
Active Publication Date: 2019-11-08
YANCHENG TEACHERS UNIV
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[0004] The present invention provides a digital content delivery method based on deep machine learning, which is used to solve the problem of low accuracy rate of delivery in existing digital content delivery methods
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[0046] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.
[0047] figure 1 It is a flow chart of a method for delivering digital content based on deep machine learning in an embodiment of the present invention. Such as figure 1 As shown, the present invention provides a method for delivering digital content based on deep machine learning, including:
[0048] Obtaining a user ID and digital content corresponding to the user ID;
[0049] constructing a neural network structure, and training the neural network structure by using the user ID and the digital content corresponding to the user ID;
[0050] When the recognition accuracy of the neural network structure meets a preset threshold, an optimal neural network structure...
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The invention discloses a digital content delivery method based on deep machine learning. The method comprises the steps of obtaining a user identifier and digital content corresponding to the user identifier; constructing a neural network structure, and training the neural network structure by using the user identifier and the digital content corresponding to the user identifier; when the identification accuracy of the neural network structure meets a preset threshold, obtaining an optimal neural network structure; and receiving a delivery request carrying a user identifier, and delivering the to-be-delivered digital content corresponding to the delivery request to a user by using the optimal neural network structure. According to the method provided by the invention, the to-be-delivereddigital content and the user identifier are identified and matched by adopting the neural network structure based on deep machine learning, so that the accurate delivery of the digital content is realized, and the delivery accuracy and efficiency of the digital content are improved.
Description
technical field [0001] The invention relates to the field of communication technology, in particular to a method for delivering digital content based on deep machine learning. Background technique [0002] With the continuous development of Internet technology, the amount of digital content on the Internet has increased significantly. Existing digital content includes multimedia files such as audio and video, as well as various new user-generated content (User Generated Content, UGC) such as short videos and live video. , making the digital content on the Internet more and more abundant. [0003] Existing digital content delivery methods are mainly based on the user's browsing history data, performing fuzzy identification, predicting the user's interest preferences, and fuzzy matching the user's group classification attributes to deliver digital content. Since the above-mentioned delivery method itself adopts vague identification, prediction and matching methods, the accura...
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IPC IPC(8): G06F16/955G06F16/958G06K9/62G06N3/04
CPCG06F16/986G06F16/955G06N3/045G06F18/214
Inventor 李忠慧
Owner YANCHENG TEACHERS UNIV