Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fab: content-based, collaborative recommendation
Communications of the ACM
ConChat: A Context-Aware Chat Program
IEEE Pervasive Computing
Towards a Better Understanding of Context and Context-Awareness
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
The Conference Assistant: Combining Context-Awareness with Wearable Computing
ISWC '99 Proceedings of the 3rd IEEE International Symposium on Wearable Computers
Rhythm modeling, visualizations and applications
Proceedings of the 16th annual ACM symposium on User interface software and technology
Information diffusion through blogspace
ACM SIGKDD Explorations Newsletter
The structure of information pathways in a social communication network
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Suggesting friends using the implicit social graph
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Communication data based user activity recommendations
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Predicting relevant documents for enterprise communication contexts
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
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Applications based on context aware technologies have been extensively studied with different notions of context such as location, sensory, presence and many other aspects of user behavior. Many of these notions of context are often orthogonal and can be combined to provide novel new services. We integrate communication context that is mined from users' communication data with session, messaging, and presence contexts to provide novel collaboration services to enterprise users. In this paper, we present two such services that compute recommended relevance for collaboration services by integrating multiple notions of context. We present a novel contextual presence service that enhances messaging collaboration among enterprise users. Some of the algorithms presented in this paper are deployed in a real enterprise across multiple locations with over 150 users.