Ranking Parameters based on Social Network for User-generated Video Contents
- Authors
- Kim, Laehyun; Wiyartanti, Lisa; Cho, Hyunchul; Han, Yo-Sub; Cha, Jeong-Won
- Issue Date
- 2010-09
- Publisher
- INT INFORMATION INST
- Citation
- INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, v.13, no.5, pp.1667 - 1678
- Abstract
- In the Web 2.0 era, people not only read web contents but upload, view, share, and evaluate all contents on the web. This leads us to introduce a new type of social network that is based on user activity and content meta-data. Moreover, we can determine the quality of related contents using this new social network. Based on this observation, we introduce a ranking algorithm for user-generated video sharing website like YouTube. We make use of pre-analysis over ranking parameters that we offer as key factors in our algorithm computation. Then, we calculate the value of contents, and orders the contents by statistical method.
- Keywords
- Web 2.0; social network; user-generated video contents
- ISSN
- 1343-4500
- URI
- https://pubs.kist.re.kr/handle/201004/131135
- Appears in Collections:
- KIST Article > 2010
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