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Video website intelligent recommendation method and system based on edge calculation

A video website and recommendation method technology, applied in computing, computing models, computer parts, etc., can solve problems such as narrow coverage, inability to recommend user-like video content, and faster video update speed, achieving wide coverage and sample size. comprehensive information

Pending Publication Date: 2022-04-15
SHENZHEN SEN5 TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing video websites cannot accurately recommend video content that meets the user's preferences to users. First, the video update speed becomes faster, and the user's preference update also becomes faster; second, the existing recommendation algorithm often uses keyword Identify and recommend, narrow coverage
Existing website video recommendation methods can no longer meet the growing recommendation needs of users

Method used

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  • Video website intelligent recommendation method and system based on edge calculation
  • Video website intelligent recommendation method and system based on edge calculation
  • Video website intelligent recommendation method and system based on edge calculation

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0053] This embodiment proposes an intelligent recommendation method for video websites based on edge computing, and the process steps are as follows figure 1 As mentioned, the specific scheme is as follows:

[0054] A video website intelligent recommendation method based on edge computing, comprising the following steps:

[0055] 101. The user watches the video on the video website through an electronic device, and after obtaining the authorization, the background collects the frame image of the current video by random sampling and / or non-random sampling, and saves it to the local storage;

[0056] 102. If and only when the electronic device is in a low power consumption state, the background preprocesses the frame image in the local memory into a label image, and uploads it to the server;

[0057] 103. The server receives the tag image, and applies a preset image recognition algorithm to analyze the tag information corresponding to the tag image;

[0058] 104. Record and c...

Embodiment 2

[0077] On the basis of Embodiment 1, this embodiment proposes an edge computing-based intelligent recommendation system for video websites, and systematizes the intelligent recommendation method in Embodiment 1. The components of each module of the system are shown in the appendix of the manual image 3 As mentioned, the specific scheme is as follows:

[0078] An intelligent video website recommendation system based on edge computing, including electronic equipment and a server, wherein the electronic equipment 1 includes a collection unit 11 , a transmission unit 12 , and the server 2 includes an analysis unit 21 , a tag unit 22 and a push unit 23 . When it is detected that the user logs in to a relevant video website to watch a video through the electronic device 1, the electronic device 1 will submit an authorization application to read the currently watched video content and intercept the frame image of the video. Only when the user agrees to authorize, the electronic dev...

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Abstract

The invention provides a video website intelligent recommendation method and system based on edge computing, and the method comprises the steps: watching a video on a video website through electronic equipment, obtaining authorization, collecting a frame image in a random sampling and / or non-random sampling mode at a background, and storing the frame image in a local memory; when the equipment is in a low-power-consumption state, obtaining a label image, and uploading the label image to a server; the server analyzes label information corresponding to the label image by using a preset image recognition algorithm; recording and classifying the label information, and generating one or more preference labels of the user in combination with the video classification attribute of the video website; and when pushing is carried out, pushing display is carried out through a home page of the electronic equipment. The video website intelligent recommendation method provided by the invention is applied to the video website, and related delivery of video contents is achieved by analyzing, recording, storing, analyzing and pushing the types of videos watched by the user, so that the increasing video recommendation requirements of the user are met.

Description

technical field [0001] The invention relates to the field of algorithm recommendation, in particular, to an intelligent recommendation method and system for a video website based on edge computing. Background technique [0002] On August 27, 2021, China Internet Network Information Center (CNNIC) released the 48th "Statistical Report on Internet Development in China" in Beijing. The "Report" shows that as of June 2021, the number of netizens in my country has reached 1.011 billion, an increase of 21.75 million compared with December 2020, and the Internet penetration rate has reached 71.6%. One billion users are connected to the Internet, forming the largest and most vibrant digital society in the world. As of December 2020, the number of online video users in my country reached 927 million, an increase of 76.33 million from March 2020, accounting for 93.7% of the total Internet users. Among them, the number of short video users is 873 million, an increase of 100 million c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06V20/40G06V10/764G06F9/50G06N20/00
Inventor 张创涛尹继圣刘佳佳周道朱正伟区信诚陈红春李颛刘大照李玉飞
Owner SHENZHEN SEN5 TECH CO LTD