Sciweavers

Share
IMC
2010
ACM

The impact of YouTube recommendation system on video views

9 years 4 months ago
The impact of YouTube recommendation system on video views
Hosting a collection of millions of videos, YouTube offers several features to help users discover the videos of their interest. For example, YouTube provides video search, related video recommendation and front page highlight. The understanding of how these features drive video views is useful for creating a strategy to drive video popularity. In this paper, we perform a measurement study on data sets crawled from YouTube and find that the related video recommendation, which recommends the videos that are related to the video a user is watching, is one of the most important view sources of videos. Despite the fact that the YouTube video search is the number one source of views in aggregation, the related video recommendation is the main source of views for the majority of the videos on YouTube. Furthermore, our results reveal that there is a strong correlation between the view count of a video and the average view count of its top referrer videos. This implies that a video has a high...
Renjie Zhou, Samamon Khemmarat, Lixin Gao
Added 13 Feb 2011
Updated 13 Feb 2011
Type Journal
Year 2010
Where IMC
Authors Renjie Zhou, Samamon Khemmarat, Lixin Gao
Comments (0)
books