Personalized user-generated video prefetching method and system based on popularity and social network

A technology of social network and popularity, applied in the field of personalized user original video prefetching, can solve the problems such as inapplicable user original content video services, and achieve the effect of improving viewing experience, quality, hit rate and accuracy

Active Publication Date: 2017-03-01
南京大学镇江高新技术研究院
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, traditional video prefetching algorithms are not well suited for UGC video services.

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
  • Personalized user-generated video prefetching method and system based on popularity and social network
  • Personalized user-generated video prefetching method and system based on popularity and social network
  • Personalized user-generated video prefetching method and system based on popularity and social network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The invention provides a personalized user original video prefetching method and system based on popularity and social network. A detailed description will be given below in conjunction with the accompanying drawings.

[0030] refer to figure 1 , figure 1 It is a flow chart of the steps of the personalized user original video prefetching method based on popularity and social attributes of the present invention, including the following steps:

[0031] Information obtaining step 101: obtaining the user's historical behavior information on the video, the social relationship between users, the association relationship between videos and the popularity information of the video itself;

[0032] Video classification step 102: based on the popularity information of user-generated videos, classify user-generated videos into popular videos and long-tail videos;

[0033] Popular video prefetch list generation step 103: based on video popularity and user's historical behavior in...

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 invention discloses a personalized user-generated video prefetching method and system based on popularity and social networks. The method comprises the steps that video popularity information, social relations between users, incidence relations between videos and user historical behavior information are collected at first; on the basis of the popularity information, user-generated videos are divided into popular videos and long tail videos; the preference degrees of the users for the popular videos are calculated and ranked, and a popular video prefetching list is generated; a graph model is built, relevance measurement for the users and the videos is achieved, and a long tail video prefetching list is generated for the users; weighted linear fusion is conducted on the popular video prefetching list and the long tail prefetching list, and a personalized mixed prefetching model is built; on the condition that the video watched by the users at present is smooth, one or more videos with the high rank are fetched for the users based on the personalized mixed prefetching model. According to the personalized user-generated video prefetching method and system, the user-generated video prefetching hit rate and accuracy degree are improved, user-generated video service quality is improved, and user watching experience is improved.

Description

technical field [0001] The invention relates to a personalized user original video prefetching method and system based on popularity and social network, and belongs to the technical field of video prefetching. Background technique [0002] With the advent of the Web 2.0 era, users are no longer simply receivers of information, but have become publishers of information at the same time. Represented by Youku and Tudou, video sites based on user-generated content are popular among users. Highly sought after, but multiple research results show that the user's viewing experience is unsatisfactory, and the delay caused by playback accounts for a relatively high proportion of the video duration. Related methods to reduce video playback delay include: improving server hardware and software performance, increasing network bandwidth, based on network proxy and based on content distribution network, but these methods have corresponding disadvantages, compared with video prefetching tec...

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): H04N21/258H04N21/466H04N21/238
Inventor 叶保留徐轩绚陆桑璐
Owner 南京大学镇江高新技术研究院
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