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ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
13 years 9 months ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles
IUI
2003
ACM
13 years 9 months ago
Inferring user goals from personality and behavior in a causal model of user affect
We present a probabilistic model, based on Dynamic Decision Networks, to assess user affect from possible causes of emotional arousal. The model relies on the OCC cognitive theory...
Xiaoming Zhou, Cristina Conati
KDD
2009
ACM
232views Data Mining» more  KDD 2009»
13 years 9 months ago
Probabilistic latent semantic user segmentation for behavioral targeted advertising
Behavioral Targeting (BT), which aims to deliver the most appropriate advertisements to the most appropriate users, is attracting much attention in online advertising market. A ke...
Xiaohui Wu, Jun Yan, Ning Liu, Shuicheng Yan, Ying...
IUI
2006
ACM
13 years 10 months ago
Eye-tracking to model and adapt to user meta-cognition in intelligent learning environments
In this paper we describe research on using eye-tracking data for on-line assessment of user meta-cognitive behavior during the interaction with an intelligent learning environmen...
Christina Merten, Cristina Conati
FLAIRS
2001
13 years 5 months ago
Learning and Predicting User Behavior for Particular Resource Use
To successfully interact with users in providing useful information, intelligent user interfaces need a mechanism for recognizing, characterizing, and predicting user actions. In ...
Jung Jin Lee, Robert McCartney, Eugene Santos Jr.