Monetizing User Activity on Social Networks

TitleMonetizing User Activity on Social Networks
Publication TypeMiscellaneous
Year of Publication2008
AuthorsAmit Sheth, Meenakshi Nagarajan, Kamal Baid, Shaojun Wang
KeywordsSocial Networks and Monetization and User activity and Computational Advertising and O-topic content and Intents
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 _rst 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 pro_le ads that are based on user activity generate more interest than ads solely based on pro_le information.

Full Text

Meenakshi Nagarajan, Kamal Baid,Amit Sheth, Shaojun Wang, Monetizing User Activity on Social Networks, Technical Report, 2008
year: 2008
related resource url: http://knoesis.wright.edu/research/semweb/projects/socialmedia/
hasURL: http://knoesis.wright.edu/library/download/MonetizingUserActivity-TechRe...