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A multimedia resource recommendation method and system

A technology of multimedia resources and recommendation methods, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problem of less consideration of synonyms and polysemy of multimedia files, affecting recall rate, impact of multimedia file recommendation accuracy, etc. problem, to achieve the effect of improving accuracy, avoiding cold start, and improving matching degree

Active Publication Date: 2017-02-15
GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when making multimedia recommendation based on this method, less consideration is given to synonyms and polysemy in the text description information of multimedia files, and synonyms will affect the recall rate, and polysemy will affect the accuracy of multimedia file recommendation

Method used

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  • A multimedia resource recommendation method and system
  • A multimedia resource recommendation method and system
  • A multimedia resource recommendation method and system

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0022] figure 1 A schematic flowchart of a method for recommending multimedia resources provided by Embodiment 1 of the present invention is applicable to the situation where other multimedia files similar to the currently played multimedia file are recommended to the user, and the method can be executed by a multimedia resource recommendation system, wherein The system can be implemented by software and / or hardware, and is generally integrated on a multimedia service platform that provides multimedia playback resources to users.

[0023] Such as figure 1 As shown, a method for recommending multimedia resources provided by Embodiment 1 of the present invention includes the following operations:

[0024] S101. Establish a text vector matrix and a tag vector matrix corresponding to the multimedia library according to the text description information set and the tag information set of the multimedia files in the multimedia library.

[0025] In this embodiment, the multimedia li...

Embodiment 2

[0043] figure 2 It is a schematic flowchart of a method for recommending multimedia resources provided by Embodiment 2 of the present invention. Embodiment 2 of the present invention is optimized based on the above embodiments. In this embodiment, the text vector matrix and label vector matrix will be processed according to singular value decomposition to obtain the text reduction matrix of the text vector matrix and the The label reduction matrix of the label vector matrix is ​​further optimized as follows: according to the singular value decomposition formula, determine the first singular value set of the text vector matrix and the second singular value set of the label vector matrix, wherein the first The singular values ​​in the singular value set and the second singular value set are arranged from large to small; the first r singular values ​​are taken in the first singular value set, and the text vector matrix is ​​determined based on the first r singular values Text r...

Embodiment 3

[0075] image 3 A structural block diagram of a multimedia resource recommendation system provided by Embodiment 3 of the present invention. The recommendation system is suitable for recommending other multimedia files similar to the currently played multimedia file to the user. It can be implemented by software and / or hardware, and It is generally integrated on a multimedia service platform that provides users with multimedia playback resources. Such as image 3 As shown, the recommendation system includes: a vector matrix determination module 31 , a reduction matrix determination module 32 , a similarity determination module 33 and a resource recommendation module 34 .

[0076] Wherein, the vector matrix determination module 31 is used to set up a text vector matrix and a tag vector matrix corresponding to the multimedia library according to the text description information set and the tag information set of the multimedia files in the multimedia library;

[0077] The redu...

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Abstract

The embodiments of the invention provide a multimedia resource recommendation method and system. The method comprises the steps of establishing a text vector matrix and a tag vector matrix corresponding to a multimedia library; acquiring a text reduction matrix of the text vector matrix and a tag reduction matrix of the tag vector matrix; when determining a current multimedia file played by a user, determining the multimedia similarity degrees between the current multimedia file and other multimedia files in the multimedia library according to the text reduction matrix and the tag reduction matrix; according to the multimedia similarity degrees corresponding to the multimedia files in the multimedia library, determining the multimedia files to be recommended to users as to-be-recommended resources. The method solves the problem of cold boot in a multimedia resource recommendation process and solves the problem of influence of text synonyms and polysemy on multimedia file similarity degree calculation in a multimedia resource recommendation process, so that the multimedia file matching degree is increased and the accuracy of multimedia resource recommendation is improved.

Description

technical field [0001] The embodiments of the present invention relate to the field of Internet multimedia technologies, and in particular to a method and system for recommending multimedia resources. Background technique [0002] At present, with the development of Internet technology, there have been many multimedia playback products for users. The multimedia playback products can provide users with the required multimedia resources. In order to make the multimedia playback products designed by themselves can be favored by more users , while providing the required multimedia resources for the user, other functions serving the user are also added, for example, recommending more multimedia resources that the user likes to the user. [0003] Generally, a collaborative filtering algorithm is usually used to implement the recommendation of multimedia resources. The implementation process is described as follows: first, the merchant needs to collect the co-occurrence relationshi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/435
Inventor 王鹏
Owner GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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