Name
Abstract | ||
|---|---|---|
Targeted advertising benefits consumers by delivering them only the messages that match their interests, and also helps advertisers by identifying only the consumers interested in their messages. Although targeting mechanisms for online advertising are well established, pervasive computing environments lack analogous approaches. This paper explores the application of activity inferencing to targeted advertising. We present two mechanisms that link activity descriptions with ad content: direct keyword matching using an online advertising service, and "human computation" matching, which enhances keyword matching with help from online workers. The direct keyword approach is easier to engineer and responds more quickly, whereas the human computation approach has the potential to target more effectively. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72037-9_5 | Pervasive |
Keywords | Field | DocType |
human computation,direct keyword approach,online advertising service,online advertising,targeted advertising,targeted advertising benefits consumer,activity-informed physical advertising,keyword matching,online worker,direct keyword,analogous approach,ubiquitous computing,experience sampling method,pervasive computing | Internet privacy,Contextual advertising,Native advertising,Advertising,Computer science,Experience sampling method,Targeted advertising,Online advertising,Human computation,Advertising campaign,Ubiquitous computing | Conference |
Volume | ISSN | Citations |
4480 | 0302-9743 | 11 |
PageRank | References | Authors |
3.62 | 14 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthias C. Sala | 1 | 11 | 3.62 |
| Kurt Partridge | 2 | 475 | 29.14 |
| Linda Jacobson | 3 | 11 | 4.30 |
| James "Bo" Begole | 4 | 638 | 65.25 |