Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
MovieLens unplugged: experiences with an occasionally connected recommender system
Proceedings of the 8th international conference on Intelligent user interfaces
Presence versus availability: the design and evaluation of a context-aware communication client
International Journal of Human-Computer Studies
Broadcasting information via display names in instant messaging
GROUP '05 Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work
PePe field study: constructing meanings for locations in the context of mobile presence
Proceedings of the 8th conference on Human-computer interaction with mobile devices and services
From awareness to repartee: sharing location within social groups
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An Ecosystem for Learning and Using Sensor-Driven IM Status Messages
IEEE Pervasive Computing
Field deployment of IMBuddy: a study of privacy control and feedback mechanisms for contextual IM
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Nomatic: location by, for, and of crowds
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
Social disclosure of place: from location technology to communication practices
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Employing user feedback for semantic location services
Proceedings of the 13th international conference on Ubiquitous computing
Hi-index | 0.00 |
In this paper we describe the use of collaborative filtering to make predictions about place using data from custom instant messaging status. Previous research has shown accurate predictions can be made from an individual's personal data. The work in this paper demonstrates that community data can be used to make predictions in locations that are completely new to a user.