Forecasting on-demand video viewership ratingsusing neural networks
Forecasting short-term viewership ratings for on-demand video is crucial for the online advertisement market because advertisement sales is done ahead of time, and errors in forecasting means either loss of profit opportunities or having to compensate advertisers for not upholding agreements. These...
| Main Author: | |
|---|---|
| Format: | Others |
| Language: | English |
| Published: |
KTH, Skolan för datavetenskap och kommunikation (CSC)
2014
|
| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-156382 |