Commentary-based video categorization and concept discovery

Janice Kwan Wai Leung, Chun Hung Li, Ting Keung Ip

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

3 Citations (Scopus)

Abstract

Social network contents are not limited to text but also multimedia. Dailymotion, YouTube, and MySpace are examples of successful sites which allow users to share videos among themselves. Due to the huge amount of videos, grouping videos with similar contents together can help users to search videos more efficiently. Unlike the traditional approach to group videos into some predefined categories, we propose a novel comment-based matrix factorization technique to categorize videos and generate concept words to facilitate searching and indexing. Since the categorization is learnt from users feedback, it can accurately represent the user sentiment on the videos. Experiments conducted by using empirical data collected from YouTube shows the effectiveness of our proposed methodologies.

Original languageEnglish
Title of host publicationSWSM '09: Proceedings of the 2nd ACM workshop on Social web search and mining
PublisherAssociation for Computing Machinery (ACM)
Pages49-56
Number of pages8
ISBN (Print)9781605588063
DOIs
Publication statusPublished - 2 Nov 2009
Event2nd ACM Workshop on Social Web Search and Mining, SWSM'09, Co-located with the 18th ACM International Conference on Information and Knowledge Management, CIKM 2009 - Hong Kong, China
Duration: 2 Nov 20096 Nov 2009

Publication series

NameProceedings of the ACM workshop on Social web search and mining
PublisherAssociation for Computing Machinery

Conference

Conference2nd ACM Workshop on Social Web Search and Mining, SWSM'09, Co-located with the 18th ACM International Conference on Information and Knowledge Management, CIKM 2009
Country/TerritoryChina
CityHong Kong
Period2/11/096/11/09

User-Defined Keywords

  • Clustering
  • Comments
  • Social networds
  • Video sharing sites
  • YouTube

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