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Leveraging eye-gaze and time-series features to predict user interests and build a recommendation model for visual analysis.

Nelson SilvaTobias SchreckEduardo E. VeasVedran SabolEva EggelingDieter W. Fellner
Published in: ETRA (2018)
Keyphrases
  • visual analysis
  • feature space
  • eye gaze
  • machine learning
  • face recognition
  • similarity measure
  • feature vectors
  • recommender systems
  • knowledge discovery
  • user profiling