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Practical Lessons from Predicting New User Demographics for Ad Targeting
| Content Provider | Semantic Scholar |
|---|---|
| Author | Wen, Musen Xia, Zhen Vasthimal, Deepak Kumar |
| Copyright Year | 2019 |
| Abstract | Programmatic ad buying, the use of technology to automate and optimize the ad buying process in real-time, has been emerging to be the major form of online advertising. For each online campaign, advertisers generally want to specify a certain group of audience that they want to target at. Among these, demographics (user age and gender) is the fundamental and most common targeting option. On the other side, due to the huge volume of bid-requests flowing into the exchange, majority of those users (i.e. cookies) are either completely new to the ad platform or has too little historical behavior information to determine their demographics. In this paper, we present and discuss the methods, system and practical lessons in tackling this problem at massive scale. |
| Starting Page | 59 |
| Ending Page | 67 |
| Page Count | 9 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://proceedings.mlr.press/v109/wen19a/wen19a.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
