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Augmenting User Models with Real World Experiences to Enhance Personalization and Adaptation

  • Fabian Abel
  • Vania Dimitrova
  • Eelco Herder
  • Geert-Jan Houben
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7138)

Abstract

Digital traces become an important source of information in our physical world. At the same time, these digital traces often represent our real-world activities. Augmented user modeling is an emerging strand of research that aims to connect and exploit activities and events in the digital, social and physical worlds.

Keywords

user model real world augmented personalization alignment applications 

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References

  1. 1.
    Augmenting User Models with Real World Experiences to Enhance Personalization and Adaptation. In: Workshop Program and Proceedings: http://www.wis.ewi.tudelft.nl/aum2011/
  2. 2.
    Abel, F., Herder, E., Krause, D.: Extraction of Professional Interests from Social Web Profiles. In: Proc. UMAP 2011 (2011)Google Scholar
  3. 3.
    Ammari, A., Dimitrova, V., Despotakis, D.: Semantically Enriched Machine Learning Approach to Filter YouTube Comments for Socially Augmented User Models. In: Ardissono, L., Kuflik, T. (eds.) UMAP 2011 Workshops. LNCS, vol. 7138, pp. 71–85. Springer, Heidelberg (2012)Google Scholar
  4. 4.
    Berlanga, A., Sloep, P.: Towards a Digital Learner Identity. In: Proc. UMAP 2011 (2011)Google Scholar
  5. 5.
    Despotakis, D., Lau, L., Dimitrova, V.: A Semantic Approach to Extract Individual Viewpoints from User Comments on an Activity. In: Proc. UMAP 2011 (2011)Google Scholar
  6. 6.
    Moore, A., Macarthur, V., Conlan, O.: Core Aspects of Affective Metacognitive User Models. In: Ardissono, L., Kuflik, T. (eds.) UMAP 2011 Workshops. LNCS, vol. 7138, pp. 47–59. Springer, Heidelberg (2012)Google Scholar
  7. 7.
    Garzon, S.R., Poguntke, M.: The Personal Adaptive In-Car HMI: Integration of External Applications for Personalized Use. In: Ardissono, L., Kuflik, T. (eds.) UMAP 2011 Workshops. LNCS, vol. 7138, pp. 35–46. Springer, Heidelberg (2012)Google Scholar
  8. 8.
    Tiroshi, A., Kuflik, T., Kay, J., Kummerfeld, B.: Recommender Systems and the Social Web. In: Ardissono, L., Kuflik, T. (eds.) UMAP 2011 Workshops. LNCS, vol. 7138, pp. 60–70. Springer, Heidelberg (2012)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Fabian Abel
    • 1
  • Vania Dimitrova
    • 2
  • Eelco Herder
    • 3
  • Geert-Jan Houben
    • 1
  1. 1.Web Information SystemsDelft University of TechnologyThe Netherlands
  2. 2.School of ComputingUniversity of LeedsUK
  3. 3.L3S Research CenterLeibniz UniversityHannoverGermany

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