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PERVASIVE
2011
Springer
12 years 7 months ago
Using Decision-Theoretic Experience Sampling to Build Personalized Mobile Phone Interruption Models
We contribute a method for approximating users’ interruptibility costs to use for experience sampling and validate the method in an application that learns when to automatically ...
Stephanie Rosenthal, Anind K. Dey, Manuela M. Velo...
CHI
2011
ACM
12 years 8 months ago
Modeling users of intelligent systems
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
Stephanie Rosenthal
CSE
2009
IEEE
13 years 11 months ago
A Language of Life: Characterizing People Using Cell Phone Tracks
—Mobile devices can produce continuous streams of data which are often specific to the person carrying them. We show that cell phone tracks from the MIT Reality dataset can be u...
Alexy Khrabrov, George Cybenko
MIS
2006
Springer
159views Multimedia» more  MIS 2006»
13 years 4 months ago
Personalized avatars for mobile entertainment
LiveMail is a prototype system that allows mobile subscribers to communicate using personalized 3D face models created from images taken by their phone cameras. The user takes a s...
Tomislav Kosutic, Miran Mosmondor, Ivan Andrisek, ...
ACMSE
2010
ACM
13 years 2 months ago
Mobile web search personalization using ontological user profile
Most present day search engines have a deterministic behavior in the sense that they return the same search results for all users who submit the same query at a certain time. They...
Kapil Goenka, Ismailcem Budak Arpinar, Mustafa Nur...