NDLI: Joint Social and Content Recommendation for User-Generated Videos in Online Social Network

Content Provider	IEEE Xplore Digital Library
Author	Wang, Z. Sun, L. Zhu, W. Yang, S. Li, H. Wu, D.
Copyright Year	1999
Abstract	Online social network is emerging as a promising alternative for users to directly access video contents. By allowing users to import videos and re-share them through the social connections, a large number of videos are available to users in the online social network. The rapid growth of the user-generated videos provides enormous potential for users to find the ones that interest them; while the convergence of online social network service and online video sharing service makes it possible to perform recommendation using social factors and content factors jointly. In this paper, we design a joint social-content recommendation framework to suggest users which videos to import or re-share in the online social network. In this framework, we first propose a user-content matrix update approach which updates and fills in cold user-video entries to provide the foundations for the recommendation. Then, based on the updated user-content matrix, we construct a joint social-content space to measure the relevance between users and videos, which can provide a high accuracy for video importing and re-sharing recommendation. We conduct experiments using real traces from Tencent Weibo and Youku to verify our algorithm and evaluate its performance. The results demonstrate the effectiveness of our approach and show that our approach can substantially improve the recommendation accuracy.
Sponsorship	IEEE Signal Processing Society IEEE Circuits and Systems Society IEEE Communications Society IEEE Computer Society
Starting Page	698
Ending Page	709
Page Count	12
File Size	1800117
File Format	PDF
ISSN	15209210
Volume Number	15
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Videos Joints Twitter Collaboration Laboratories Internet social propagation Video recommendation online social network
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Science Applications Media Technology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Online Video Recommendation through Tag-Cloud Aggregation

Camera Motion-Based Analysis of User Generated Video

Social Friend Recommendation Based on Multiple Network Correlation

Exploring A Trust Based Recommendation Approach for Videos in Online Social Network

A Novel Large-Scale Digital Forensics Service Platform for Internet Videos

Social Connections in User-Generated Content Video Systems: Analysis and Recommendation

Collaborative Tagging Applications and Approaches

UGC-driven social influence study in online micro-blogging sites

Cross-OSN User Modeling by Homogeneous Behavior Quantification and Local Social Regularization

Joint Social and Content Recommendation for User-Generated Videos in Online Social Network

Similar Documents

Online Video Recommendation through Tag-Cloud Aggregation

Camera Motion-Based Analysis of User Generated Video

Social Friend Recommendation Based on Multiple Network Correlation

Exploring A Trust Based Recommendation Approach for Videos in Online Social Network

A Novel Large-Scale Digital Forensics Service Platform for Internet Videos

Social Connections in User-Generated Content Video Systems: Analysis and Recommendation

Collaborative Tagging Applications and Approaches

UGC-driven social influence study in online micro-blogging sites

Cross-OSN User Modeling by Homogeneous Behavior Quantification and Local Social Regularization

Joint Social and Content Recommendation for User-Generated Videos in Online Social Network