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| Content Provider | ACM Digital Library |
|---|---|
| Editor | Li, Ying |
| Copyright Year | 2007 |
| Abstract | Global advertising is a half-a-trillion dollar a year business. Although online advertising is currently a small part of this enterprise, it is rapidly growing. The explosion in the number of participants in online advertising marketplaces, and other online entities such as blogs and social networks, has generated large volumes of data and exciting data mining problems. Earlier research on these online entities has focused on information organization, retrieval and understanding. Recently there is increased research interest in the advertisement angle to all these avenues also. Further, the on-line and offline advertising worlds are fast converging; for example, digital marketplaces are migrating from the online world to TV and radio and audience understanding work from offline media is trickling into the online realm. Hence there is strong need for a single forum to bring together researchers and practitioners who are involved in all aspects of digital advertising. We are addressing this need with the First Workshop on Data Mining and Audience Intelligence for Advertising. The goal of this workshop is to encourage data mining researchers to take on the numerous challenges faced by the rapidly changing digital advertising industry, and to increase communication between researchers working on seemingly different pieces of the advertisement pie. We want to bring together auction theorists, social network researchers, natural language researchers, information retrieval experts, audience understanding researchers, television advertisement analysts and many others, to promote a fruitful exchange of ideas to advance the field. |
| ISBN | 9781595938336 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2007-08-12 |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Conference Proceedings |
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