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Media file processing method and device and electronic equipment

A technology for media files and processing methods, applied in the fields of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of sparse user data, high model complexity, and difficult engineering deployment, and achieve effective and simplified recommendation. effect of the process

Pending Publication Date: 2021-08-24
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although the effect of this solution is remarkable, there are problems such as high model complexity, extremely cumbersome engineering features, and difficult engineering deployment.
In addition, in the actual application scenario, it may be difficult to obtain and capture some user attributes, behaviors, habits and other data, especially in the initial stage of recommendation, there are problems such as sparse user data, making it difficult for the Wide&Deep model to work

Method used

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  • Media file processing method and device and electronic equipment
  • Media file processing method and device and electronic equipment
  • Media file processing method and device and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0092] First of all, this embodiment 1 provides a method for processing media files from the perspective of the server, see figure 2 , the method may specifically include:

[0093] S210: Collect keywords associated with the published media files, and generate a thesaurus.

[0094] Wherein, the published media files may be articles, videos, etc. published by specific publishers in the information publishing system. For a specific media file, after it is published in the information publishing system, the system side can use technologies such as NLP (Natural Language Processing, Natural Language Processing) to realize the subject word extraction of the media file. Among them, the subject words are words, phrases, etc. that express the main content of the media file. For article-type media files, NLP processing can be directly performed on the text content in the article. For video, audio, etc., speech recognition can be performed first, and then NLP processing can be performe...

Embodiment 2

[0134] The second embodiment corresponds to the first embodiment, and provides a media file processing method from the perspective of the client, see Figure 5 , the method may specifically include:

[0135] S510: Obtain media file list information, the media file list information is generated according to the attribute information of the published media files on the target recommendation dimension, and the attribute information of the published media files on the target recommendation dimension is generated according to the published media file The keyword associated with the published media file is determined by attribute information related to the target recommendation dimension;

[0136] S520: Display the media file list information.

[0137] During specific implementation, the target recommendation dimensions can be multiple, corresponding to different media file lists respectively. The multiple different media file lists corresponding to the multiple target recommendat...

Embodiment 3

[0139] The third embodiment is a separate introduction for a specific implementation solution for recommendation on the freshness dimension. see Figure 6 , this embodiment three provides a kind of processing method of media file, and this method specifically can comprise:

[0140]S610: Collect published media files, save and update the time attribute information of the published media files, wherein the published media files are given an initial time attribute value when they are released, and decrease as time goes by;

[0141] S620: Collect the keywords associated with the published media files, save and update the time attribute information of the keywords, wherein, when the keywords appear for the first time, they are given an initial time attribute value, and decrease according to the passage of time ;

[0142] S630: Determine the attribute information of the media file in the time dimension according to the current time attribute value of the published media file and t...

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Abstract

The embodiment of the invention discloses a media file processing method and device and electronic equipment, and the method comprises the steps of collecting subject terms associated with a published media file, and generating a subject term library; according to a target recommendation dimension, storing and updating attribute information, related to the target recommendation dimension, of the subject terms in the subject term library; determining the attribute information of the published media file on the target recommendation dimension according to the subject term associated with the published media file and the attribute information associated with the target recommendation dimension; and providing a published media file list for a client according to the attribute information of the published media file on the target recommendation dimension. Through the embodiment of the invention, simpler and more effective information recommendation can be realized.

Description

technical field [0001] The present application relates to the technical field of media file information processing, in particular to a media file processing method, device and electronic equipment. Background technique [0002] In some news applications, its main function is to push some news media file information to users, and the main forms may include articles, videos, and so on. Specifically, how to recommend media file information, that is, how to screen or sort mass media information for specific users, so that the pushed information can arouse users' interest in reading, is usually a very critical issue, and will Affects system indicators such as user dwell time. [0003] The more popular push scheme in the prior art is the Wide&Deep model scheme. Its core idea is to combine the memory ability of the linear model and the generalization ability of the DNN (Deep Neural Networks, deep neural network) model, and optimize the two models at the same time during the traini...

Claims

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Application Information

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IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 周银达王炜许艳王兴勇
Owner ALIBABA GRP HLDG LTD
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