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» Modeling the Propagation of User Preferences
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AIHC
2007
Springer
15 years 10 months ago
Gaze-X: Adaptive, Affective, Multimodal Interface for Single-User Office Scenarios
This paper describes an intelligent system that we developed to support affective multimodal human-computer interaction (AMM-HCI) where the user’s actions and emotions are modele...
Ludo Maat, Maja Pantic
ADMA
2005
Springer
202views Data Mining» more  ADMA 2005»
15 years 6 months ago
A Latent Usage Approach for Clustering Web Transaction and Building User Profile
Web transaction data between web visitors and web functionalities usually convey users’ task-oriented behavior patterns. Clustering web transactions, thus, may capture such infor...
Yanchun Zhang, Guandong Xu, Xiaofang Zhou
CHI
2007
ACM
16 years 4 months ago
The role of choice and customization on users' interaction with embodied conversational agents: effects on perception and perfor
We performed an empirical study exploring people's interactions with an embodied conversational agent (ECA) while performing two tasks. Conditions varied with respect to 1) w...
Jun Xiao, John T. Stasko, Richard Catrambone
IUI
2009
ACM
16 years 1 months ago
A probabilistic mental model for estimating disruption
Adaptive software systems are intended to modify their appearance, performance or functionality to the needs and preferences of different users. A key bottleneck in building effec...
Bowen Hui, Grant Partridge, Craig Boutilier
AI
2009
Springer
15 years 10 months ago
Context Dependent Movie Recommendations Using a Hierarchical Bayesian Model
Abstract. We use a hierarchical Bayesian approach to model user preferences in different contexts or settings. Unlike many previous recommenders, our approach is content-based. We...
Daniel Pomerantz, Gregory Dudek