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Modeling User Preferences in Recommender Systems: A Classification Framework for Explicit and Implicit User Feedback
Gawesh Jawaheer, Peter Weller, Patty Kostkova
Article No.: 8
Recommender systems are firmly established as a standard technology for assisting users with their choices; however, little attention has been paid to the application of the user model in recommender systems, particularly the variability and noise...
Collaborative Language Models for Localized Query Prediction
Yi Fang, Ziad Al Bawab, Jean-Francois Crespo
Article No.: 9
Localized query prediction (LQP) is the task of estimating web query trends for a specific location. This problem subsumes many interesting personalized web applications such as personalization for buzz query detection, for query expansion, and...
Social perception abilities are among the most important skills necessary for robots to engage humans in natural forms of interaction. Affect-sensitive robots are more likely to be able to establish and maintain believable interactions over...
Inferring Visualization Task Properties, User Performance, and User Cognitive Abilities from Eye Gaze Data
Ben Steichen, Cristina Conati, Giuseppe Carenini
Article No.: 11
Information visualization systems have traditionally followed a one-size-fits-all model, typically ignoring an individual user's needs, abilities, and preferences. However, recent research has indicated that visualization performance could be...