Name
Title | ||
|---|---|---|
Predicting the implicit and the explicit video popularity in a User Generated Content site with enhanced social features. |
Abstract | ||
|---|---|---|
User Generated Content (UGC) sites like YouTube are nowadays entertaining over a billion people. Identifying popular contents is essential for these giant UGC sites as they allow users to request contents from a potentially unlimited selection in an asynchronous fashion. In this work, we conduct an analysis on the popularity prediction problem in UGC sites and complement previous work with two new aspects, namely differentiating contents that attract a lot of attention and that users really appreciate, and leveraging built-in social features to predict the content popularity immediately upon publication. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.comnet.2018.05.004 | Computer Networks |
Keywords | Field | DocType |
User Generated Content (UGC) sites,Social features,Popularity prediction | Digital currency,User-generated content,Asynchronous communication,Graph,World Wide Web,Computer science,Popularity,Computer network,Content popularity,Social structure | Journal |
Volume | ISSN | Citations |
140 | 1389-1286 | 1 |
PageRank | References | Authors |
0.34 | 32 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adele Lu Jia | 1 | 64 | 8.01 |
| Siqi Shen | 2 | 135 | 14.47 |
| Dongsheng Li | 3 | 15 | 8.74 |
| Shengling Chen | 4 | 2 | 0.69 |