Media file quality prediction model training method, quality prediction method and device
A media file and quality prediction technology, applied in the computer field, can solve problems such as inaccurate advertising quality and achieve the effect of improving accuracy
Active Publication Date: 2022-04-29
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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[0003] In related technologies, in order to estimate the quality of advertisement delivery, a neural network is generally used for modeling. For all behavioral characteristics of users on advertisements, the model uses the same feature input, and outputs various behavioral characteristics of users on advertisements at the same time in the hidden layer. chances that the estimated ad serving quality will be inaccurate
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[0050] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.
[0051]It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consis...
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The disclosure provides a quality prediction model training method for media files, a quality prediction method for media files, a device, a storage medium, and electronic equipment for improving the accuracy of quality prediction for media files. The quality prediction model training method for media files Including: obtaining an input feature sample set; each input feature sample in the input feature sample set includes: media file attribute features and user attribute features; various behavioral features of users to media files are divided into at least two levels according to the time sequence relationship Behavior feature group, and obtain the label value corresponding to each behavior feature in the behavior feature group of each level corresponding to each of the input feature samples; for each of the input feature samples, use the target level corresponding to the input feature sample The label value corresponding to each behavior feature in the behavior feature group of the previous layer and the input feature sample are taken as input, and the label value corresponding to each behavior feature in the behavior feature group of the target level is used as output, and the model to be trained is Train to get the quality prediction model of media files.
Description
technical field [0001] The present disclosure relates to the field of computer technology, and in particular to a media file quality prediction model training method, a media file quality prediction method, a device, a storage medium, and electronic equipment. Background technique [0002] With the development of the Internet, network media files (such as network advertisements) have almost become one of the main publicity methods of various Internet products, and its importance is self-evident. In order to estimate the flow of advertisements and provide decision-making basis for advertisers and other relevant operators, the estimation of the quality of advertisements is becoming more and more important. [0003] In related technologies, in order to estimate the quality of advertisement delivery, a neural network is generally used for modeling. For all behavioral characteristics of users on advertisements, the model uses the same feature input, and outputs various behavioral...
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IPC IPC(8): G06F16/16
CPCG06F16/16
Inventor 刘永起
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD