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Video pushing method, apparatus, computer device and storage medium

A video push and video technology, applied in the computer field, can solve the problems of less effective information, sparse scoring matrix, and inability to guarantee the accuracy of video push instructions.

Active Publication Date: 2019-01-29
广州飞磨科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current recommendation system recommends interesting information to users by analyzing historical behavior data. Due to the large amount of user and video data, but the user has less effective information on video feedback, the scoring matrix is ​​sparse, and video push cannot be guaranteed. command precision

Method used

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  • Video pushing method, apparatus, computer device and storage medium
  • Video pushing method, apparatus, computer device and storage medium
  • Video pushing method, apparatus, computer device and storage medium

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Embodiment Construction

[0037] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0038] figure 1 It is an application environment diagram of a video push method in an embodiment. refer to figure 1 , the video push method is applied to a video push system. The video push system includes multiple terminals 110 (terminal 112 , terminal 114 and terminal 116 ) and a server 120 . Terminal 110 and server 120 are connected via a network. The server 120 acquires a plurality of user IDs and corresponding video IDs and corresponding historical behavior data, calculates scoring data corresponding to each user ID according to the historical behavior data of eac...

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Abstract

The invention relates to a video pushing method, apparatus, computer device and storage medium. The method includes acquiring a plurality of user identifiers and corresponding video identifiers and corresponding historical behavior data, calculating scoring data corresponding to each user identifier according to the historical behavior data of each user identifier, assembling a score data set, storing the scoring data set according to a matrix to obtain a scoring matrix, inputting user ID, video identification and scoring matrices into the trained video push model, decomposing the scoring matrix, according to the decomposition result, determining the user similarity between users and the video similarity between videos, according to the user similarity between users and the video similarity between corresponding videos, determining the target video identification set corresponding to each user identification, and pushing the video link corresponding to the target video identification set to the corresponding terminal corresponding to each target user identification, so as to improve the accuracy of video recommendation and enhance the user experience.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a video push method, device, computer equipment and storage medium. Background technique [0002] With the development of online video platforms, multimedia content is constantly enriched, and the number of videos is constantly expanding. Users need to spend a lot of energy and time to find the videos they are interested in from the huge content. In order to help users quickly obtain the information they need from massive amounts of information data, people have designed data recommendation systems. The emergence of recommendation systems has changed the way users interact with information data: from actively obtaining information to actively pushing information to users. The focus and difficulty of the recommendation system is how to provide users with accurate recommendation information. The recommendation system models the user's interest by analyzing the user's...

Claims

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Application Information

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IPC IPC(8): G06F16/735G06F16/9535G06F16/78
Inventor 张明杰林益光
Owner 广州飞磨科技有限公司
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