User-Adaptive and Other Smart Adaptive Systems: Possible Synergies

By Anthony Jameson (2001)

Proceedings of the First EUNITE Symposium, Tenerife. Extended abstract of invited presentation.

Abstract

User-adaptive systems are interactive software systems that spontaneously adapt to their individual users--for example, to their interests or their work habits. First, we briefly characterize this type of system and consider its relationship to the broader category of smart adaptive systems. We then give an overview of the computational techniques that are used to realize user-adaptation, ranging from data-based machine learning techniques to theory-based decision-theoretic models. Special attention is given to the question of possible synergies: What methods that have been developed for user-adaptive systems might profitably be transferred to other smart adaptive systems? And what techniques from the latter field deserve increased attention in connection with user-adaptivity?

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BibTeX entry

@inproceedings{Jameson01Eunite,
  year = {2001},
  author = {{Jameson}, Anthony},
  title = {User-Adaptive and Other Smart Adaptive Systems: Possible
    Synergies},
  booktitle = {Proceedings of the First {EUNITE} Symposium},
  address = {Tenerife},
  note = {Extended abstract of invited presentation}}