Characterizing user popularity preference in a large-scale online video streaming system
Characterizing user popularity preference in a large-scale online video streaming system
- Author(s): Xiaoying Tan ; Yuchun Guo ; Yishuai Chen ; Wei Zhu
- DOI: 10.1049/cp.2015.0949
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- Author(s): Xiaoying Tan ; Yuchun Guo ; Yishuai Chen ; Wei Zhu Source: 6th International Conference on Wireless, Mobile and Multi-Media (ICWMMN 2015), 2015 page ()
- Conference: 6th International Conference on Wireless, Mobile and Multi-Media (ICWMMN 2015)
- DOI: 10.1049/cp.2015.0949
- ISBN: 978-1-78561-046-2
- Location: Beijing, China
- Conference date: 20-23 Nov. 2015
- Format: PDF
Most services present a uniform ranking list according to video popularity in order to satisfy users' potential demands. But recent work claimed that users in video systems showed distinct preferences on popularity of videos. Understanding these preferences has important implications for designing content distribution mechanism and improving recommendation accuracy. Users' Popularity Preferences (PPs) in online video streaming services, however, have not been well characterized. In this paper, we characterize users' PPs and analyze their differences based on a large-scale trace of user watching behaviors in one of the largest online video streaming providers in China. We evaluate central tendency, dispersion tendency and asymmetry of users' PP distributions. Through hypothesis testing, we prove that users' PP distributions are not homogeneous. Specifically, users prefer videos with different popularity and the widths of their favorite popularity ranges are different. Within a user's favorite popularity range, she prefers more popular videos.
Inspec keywords: video streaming
Subjects: Video on demand and video servers; Optical, image and video signal processing
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