The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
|
Activity Number:
|
61
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Sunday, July 29, 2012 : 4:00 PM to 5:50 PM
|
|
Sponsor:
|
Business and Economic Statistics Section
|
| Abstract - #306621 |
|
Title:
|
Topic Discovery for Online Video Ads
|
|
Author(s):
|
Sangho Yoon*+
|
|
Companies:
|
Google
|
|
Address:
|
1600 Amphitheatre Park Way, Mountain View, CA, 94043, United States
|
|
Keywords:
|
video ads ;
content analysis ;
machine learning
|
|
Abstract:
|
We try to analyze content of YouTube video ads using meta data and sound/visual features. Our aim is to learn how such video attributes affect ads viewership and then train models to predict which video ads would become successful.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2012 program
|
2012 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.