CHI has provisionally accepted our first paper on context-aware peer-to-peer transaction partner matching. In this research, we focused on mining timebankers’ profiles for contextual information, namely their bios, offers and requests. We used this information to match them to suitable partners with common interests and complementary abilities and needs. The paper will be presented in […]
Upcoming Release of the Mobile App
We expect to announce the release of the mobile app on the 6th of June. We’ll post more information here about this soon, so watch this space.
A Mobile App for Timebanking
Funded by the National Science Foundation (NSF), Penn State University, PARC and CMU are collaborating to develop a system to match service providers and receivers in real-time, based on both personal profile and dynamic context. The first step in this effort was a previous NSF project in which Penn State and PARC collaborated to develop […]