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» An Implementation Model for Collaborative Applications
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MOBISYS
2010
ACM
13 years 10 months ago
Darwin phones: the evolution of sensing and inference on mobile phones
We present Darwin, an enabling technology for mobile phone sensing that combines collaborative sensing and classification techniques to reason about human behavior and context on ...
Emiliano Miluzzo, Cory Cornelius, Ashwin Ramaswamy...
PUC
2008
116views more  PUC 2008»
13 years 7 months ago
Prototypical implementation of location-aware services based on a middleware architecture for super-distributed RFID tag infrast
of the hardware abstraction layer and of selected core middleware services. The latter enable a mobile device to store and retrieve data and position information in physical places...
Jürgen Bohn
ISMIR
2005
Springer
206views Music» more  ISMIR 2005»
14 years 1 months ago
Improving Content-Based Similarity Measures by Training a Collaborative Model
We observed that for multimedia data – especially music - collaborative similarity measures perform much better than similarity measures derived from content-based sound feature...
Richard Stenzel, Thomas Kamps
UAI
2003
13 years 9 months ago
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying...
PERCOM
2004
ACM
14 years 7 months ago
Supporting Persistent Social Groups in Ubiquitous Computing Environments Using Context-Aware Ephemeral Group Service
In this paper, we analyze the role of the social group in a Ubiquitous Computing (Ubicomp) environment as a source of contextual information. A model is presented to address the s...
Bin Wang, John Bodily, Sandeep K. S. Gupta