Learning user preferences for adaptive pervasive environments: An incremental and temporal approach

@article{Gallacher2013LearningUP,
  title={Learning user preferences for adaptive pervasive environments: An incremental and temporal approach},
  author={Sarah Gallacher and Elizabeth Papadopoulou and Nick K. Taylor and M. Howard Williams},
  journal={TAAS},
  year={2013},
  volume={8},
  pages={5:1-5:26}
}
Personalization mechanisms often employ behavior monitoring and machine learning techniques to aid the user in the creation and management of a preference set that is used to drive the adaptation of environments and resources in line with individual user needs. This article reviews several of the personalization solutions provided to date and proposes two hypotheses: (A) an incremental machine learning approach is better suited to the preference learning problem as opposed to the commonly… CONTINUE READING

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