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Autonomous Learning of User's Preferences improved through User
 

Summary: Autonomous Learning of User's
Preferences improved through User
Feedback
Asier AZTIRIA a
Juan Carlos AUGUSTO b
and Alberto IZAGUIRRE a
a
University of Mondragon, Spain
email:{aaztiria,aizagirre}@eps.mondragon.edu
b
University of Ulster, United Kingdom
email:{jc.augusto}@ulster.ac.uk
Abstract. Ambient Intelligent (AmI) environments are supposed to act
proactively anticipating the user's needs and preferences, therefore the
capability of an AmI system to learn those elements out of daily life
behaviour of those using the environment is very valuable. In this paper
we present a system that discovers patterns related to user's actions
and improves them through user feedback. The core of this system is an
algorithm which taking as starting point information collected by sensor
discovers these patterns. Coupled with the algorithm, a language to

  

Source: Augusto, Juan Carlos - School of Computing and Mathematics, University of Ulster at Jordanstown

 

Collections: Computer Technologies and Information Sciences