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Enhancing recommended video lists for Youtube-like social media
Xiaoqiang Ma
,
Haiyang Wang
, Haitao Li
, Jiangchuan Liu
, Hongbo Jiang
Computer Science (Duluth)
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
1
Scopus citations
Overview
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Dive into the research topics of 'Enhancing recommended video lists for Youtube-like social media'. Together they form a unique fingerprint.
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Keyphrases
Social Media
100%
YouTube
100%
Video-sharing Platforms
100%
Online Social Networks
83%
Common Interest
33%
Sharing Behavior
33%
Video Sharing
33%
China
16%
Social Networks
16%
Online Learning
16%
Social Relationships
16%
Network Services
16%
Evaluation Results
16%
Similarity-based
16%
Social Information
16%
Network Video
16%
Sharing Scheme
16%
Video Content
16%
Video Recommendation
16%
Sharing Pattern
16%
User Viewing Pattern
16%
Renren
16%
Social Similarity
16%
Youku
16%
Connecting People
16%
Facebook Likes
16%
Autoencoder
16%
Computer Science
Online Social Networks
100%
YouTube
100%
Facebook
20%
Evaluation Result
20%
Social Information
20%
Social Network
20%