Document Type
Report
Publication Date
2008
Abstract
In this work, we investigate techniques to monitize user activity on public forums, marketplaces and groups on social network sites. Our approach involves (a) identifying the monetization potential of user posts and (b) eliminating o - topic content in monetizable posts to use the most relevant keywords for advertising. Our first user study involving 30 users and data from MySpace and Facebook, shows that 52% of ad impressions shown after using our system were more targeted compared to the 30% relevant impressions generated without using our system. A second smaller study suggests that profile ads that are based on user activity generate more interest than ads solely based on profile information.
Repository Citation
Nagarajan, M.,
Baid, K.,
Sheth, A. P.,
& Wang, S.
(2008). Monetizing User Activity on Social Networks. 2009 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT): Milano, Italy, 15-18 September 2009: Proceedings and Workshop Papers, 92-99.
https://corescholar.libraries.wright.edu/knoesis/327
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
Presented at the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, Milan, Italy, September 15-18, 2009.