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» Predictability and accuracy in adaptive user interfaces
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CIS
2005
Springer
15 years 3 months ago
A Naive Statistics Method for Electronic Program Guide Recommendation System
Abstract. In this paper, we propose a naive statistics method for constructing a personalized recommendation system for the Electronic Program Guide (EPG). The idea is based on a p...
Jin An Xu, Kenji Araki
EICS
2009
ACM
15 years 4 months ago
Input evaluation of an eye-gaze-guided interface: Kalman filter vs. velocity threshold eye movement identification
This paper evaluates the input performance capabilities of Velocity Threshold (I-VT) and Kalman Filter (I-KF) eye movement detection models when employed for eye-gaze-guided inter...
Do Hyong Koh, Sandeep A. Munikrishne Gowda, Oleg V...
CHI
2011
ACM
14 years 1 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
AH
2008
Springer
15 years 4 months ago
Locally Adaptive Neighborhood Selection for Collaborative Filtering Recommendations
Abstract. User-to-user similarity is a fundamental component of Collaborative Filtering (CF) recommender systems. In user-to-user similarity the ratings assigned by two users to a ...
Linas Baltrunas, Francesco Ricci
81
Voted
IUI
2010
ACM
15 years 6 months ago
Speeding pointing in tiled widgets: understanding the effects of target expansion and misprediction
Target expansion is a pointing facilitation technique where the users target, typically an interface widget, is dynamically enlarged to speed pointing in interfaces. However, with...
Jaime Ruiz, Edward Lank