A ranking algorithm for user-generated video contents based on social activities

Lisa Wiyartanti, Yo Sub Han, Laehyun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

People upload extremely large number of user-generated contents everyday and participate in various social activities regarding with contents on the Web. Thus, researchers develop efficient user-generated content management systems. Typical social activities are to add favorite list, give rating, subscribe, and give comments. We observe that we can use these activities for evaluating the value of contents. Based on this observation, we introduce a ranking algorithm for user-generated video contents. We make use of collective intelligence from social activities and the algorithm finds influential users, calculates the value of contents, and orders the contents by statistical method.

Original languageEnglish
Title of host publication3rd International Conference on Digital Information Management, ICDIM 2008
Pages260-265
Number of pages6
DOIs
Publication statusPublished - 2008
Event3rd International Conference on Digital Information Management, ICDIM 2008 - London, United Kingdom
Duration: 2008 Nov 132008 Nov 16

Publication series

Name3rd International Conference on Digital Information Management, ICDIM 2008

Other

Other3rd International Conference on Digital Information Management, ICDIM 2008
CountryUnited Kingdom
CityLondon
Period08/11/1308/11/16

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Information Systems and Management

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