A video recommendation method and system based on user avatars

A user avatar and video recommendation technology, which is applied in video data retrieval, neural learning methods, metadata video data retrieval, etc., to ensure the accuracy and fineness of recommended videos and solve video recommendation problems

Active Publication Date: 2021-04-13
BEIJING QIYI CENTURY SCI & TECH CO LTD
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the present invention proposes a video recommendation method and system based on user avatars, which effectively solves the problem of video recommendation for cold-start users and improves the accuracy and fineness of video recommendation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A video recommendation method and system based on user avatars
  • A video recommendation method and system based on user avatars
  • A video recommendation method and system based on user avatars

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0064] After research, the applicant found that in the existing video playback platforms, users usually upload personalized images as avatars in order to highlight the differences between themselves and others. These avatars may be their favorite stars, animals, landscapes, cartoon characters, or even personal ones. Photos, these personalized avatars represent what the user is really interested in. With the development of deep learning, computers can mine sema...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The video recommendation method and system based on user avatars provided by the present invention perform joint training according to the standardized avatars of a large number of users and the watched video data to obtain a convolutional neural network model based on image representation, which can be automatically learned according to the avatars uploaded by users. The video that the user may be interested in effectively solves the video recommendation problem for cold-start users. At the same time, the semantic vector output by the trained convolutional neural network model and the basic information of the user, as well as the feature vectors obtained after the vectorization processing of the preset feature information of multiple candidate recommended videos, are input into the recommendation system for processing. Since the machine learning results based on the user image, the basic information of the user and the characteristics of the candidate recommended video are taken into account at the same time, the accuracy and fineness of the recommended video for the user finally obtained by the recommendation system are guaranteed.

Description

technical field [0001] The present invention relates to the technical field of video recommendation, and more specifically, to a video recommendation method and system based on user avatars. Background technique [0002] The current personalized video recommendation technology relies heavily on the user's past behavior. A newly registered user or a user with little behavior, that is, a cold start user, cannot provide enough behavior data for the video recommendation system to give an accurate video recommendation result. . [0003] The existing common practice is to ask new users to fill in some information such as the type of video they like when registering. However, there are usually very few users who actively participate in this kind of research, which makes the existing video recommendation system unable to effectively solve the problem of cold start users. Video recommendation problem. Contents of the invention [0004] In view of this, the present invention propo...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/04G06N3/08G06K9/62G06F16/78
Inventor 王睿旻崔龙雷相阳
Owner BEIJING QIYI CENTURY SCI & TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap