Difference between revisions of "Catching and Forecasting Popular Videos on Youtube"
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Have you ever considered why some videos could attract millions of viewS within just a few days? | Have you ever considered why some videos could attract millions of viewS within just a few days? | ||
| − | Recently research community begin to study the characteristics of the popular videos hoping the discovery would benefit the marketing and advertisement. Tom | + | Recently, research community begin to study the characteristics of the popular videos hoping the discovery would benefit the marketing and advertisement. Tom |
==Team== | ==Team== | ||
==Datasets== | ==Datasets== | ||
| + | A dataset of popular Youtube videos (1000~3000 videos) will be collected in this project. There exists a dataset of Youtube videos are avialable | ||
*Matedata | *Matedata | ||
| Line 23: | Line 24: | ||
== Related Work == | == Related Work == | ||
| + | [http://malt.ml.cmu.edu/mw/index.php/Tom_Broxton_el_al.,_Catching_a_viral_video,_J_Intell_Inf_Syst_2011]Tom Broxton and Yannet Interian and Jon Vaver and Mirjam Wattenhofer: Catching a viral video. Journal of Intelligent Information Systems 2011: 1-19. | ||
| + | |||
| + | [http://malt.ml.cmu.edu/mw/index.php/Y._Borghol_et_al._Performance_Evaluation_68_2011]Youmna Borghol, Siddharth Mitra, Sebastien Ardon, Niklas Carlsson, Derek L. Eager, Anirban Mahanti: Characterizing and modelling popularity of user-generated videos. Perform. Eval. 68(11): 1037-1055 (2011) | ||
| + | |||
| + | [http://www.ida.liu.se/~nikca/papers/kdd12.pdf]Y. Borghol, S. Ardon, N. Carlsson, D. Eager, and A. Mahanti, Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2012), Beijing, China, August 2012, to appear. | ||
Revision as of 14:52, 6 October 2012
Teammate WANTED!
Have you ever considered why some videos could attract millions of viewS within just a few days?
Recently, research community begin to study the characteristics of the popular videos hoping the discovery would benefit the marketing and advertisement. Tom
Team
Datasets
A dataset of popular Youtube videos (1000~3000 videos) will be collected in this project. There exists a dataset of Youtube videos are avialable
- Matedata
Baseline Method
- Modeling the view growth distribution based on BA model
- Popularity prediction by Naive SVM and features.
Advantages
Challenges
Related Work
[1]Tom Broxton and Yannet Interian and Jon Vaver and Mirjam Wattenhofer: Catching a viral video. Journal of Intelligent Information Systems 2011: 1-19.
[2]Youmna Borghol, Siddharth Mitra, Sebastien Ardon, Niklas Carlsson, Derek L. Eager, Anirban Mahanti: Characterizing and modelling popularity of user-generated videos. Perform. Eval. 68(11): 1037-1055 (2011)
[3]Y. Borghol, S. Ardon, N. Carlsson, D. Eager, and A. Mahanti, Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2012), Beijing, China, August 2012, to appear.
