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AAAI
2012
11 years 9 months ago
Transfer Learning in Collaborative Filtering with Uncertain Ratings
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
Weike Pan, Evan Wei Xiang, Qiang Yang
AUTOMOTIVEUI
2009
ACM
14 years 1 months ago
Assessing subjective response to haptic feedback in automotive touchscreens
The increasing use of touchscreen interfaces in vehicles poses challenges to designers in terms of optimizing safety, usability and affective response. It is thought that the appl...
Matthew J. Pitts, Mark A. Williams, Tom Wellings, ...
CHI
2006
ACM
14 years 7 months ago
groupTime: preference based group scheduling
As our business, academic, and personal lives continue to move at an ever-faster pace, finding times for busy people to meet has become an art. One of the most perplexing challeng...
Mike Brzozowski, Kendra Carattini, Scott R. Klemme...
HCI
2009
13 years 4 months ago
Seeing the World through an Expert's Eyes: Context-Aware Display as a Training Companion
Responsive Adaptive Display Anticipates Requests (RADAR) is a domain general system that learns to highlight an individual's preferred information displays, given the current ...
Marc T. Tomlinson, Michael Howe, Bradley C. Love
SIGIR
2003
ACM
13 years 12 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann