Name
Abstract | ||
|---|---|---|
Web applications often rely on user profiles of observed user actions, such as queries issued, page views, etc. In audience selection for display advertising, the audience that is likely to be responsive to a given ad campaign is identified via such profiles. We formalize the audience selection problem as a ranked retrieval task over an index of known users. We focus on the common case of audience selection where a small seed set of users who have previously responded positively to the campaign is used to identify a broader target audience. The actions of the users in the seed set are aggregated to construct a query, the query is then executed against an index of other user profiles to retrieve the highest scoring profiles. We validate our approach on a real-world dataset, demonstrating the trade-offs of different user and query models and that our approach is particularly robust for small campaigns. The proposed user modeling framework is applicable to many other applications requiring user profiles such as content suggestion and personalization. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/2063576.2063664 | CIKM |
Keywords | Field | DocType |
observed user action,broader target audience,user profile,ad campaign,different user,audience selection problem,known user,audience selection,retrieval model,proposed user modeling framework,display advertising,query model,user model | Data mining,World Wide Web,Information retrieval,Display advertising,Ranking,Computer science,Target audience,Advertising campaign,User modeling,Web application,Page view,Personalization | Conference |
Citations | PageRank | References |
8 | 0.52 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sarah K. Tyler | 1 | 94 | 4.26 |
| Sandeep Pandey | 2 | 423 | 28.86 |
| Evgeniy Gabrilovich | 3 | 4573 | 224.48 |
| Vanja Josifovski | 4 | 2265 | 148.84 |