Dynamic user modelling for personalised report generation of time-series data

Dimitra Gkatzia, Helen Hastie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The proposed work focuses on demonstrating how personal
interests and preferences can be used to improve report gen-
eration from time-series data. We apply these ideas in the
weather and health informatics domains. In this extended
abstract, we propose a dynamic User Model approach to
data-driven generation that adds personalisation to the gen-
erated reports. Our approach proposes that a User Model
should be updated and in
uenced from both user's traits
and socially similar users taking into account the fact that
these attributes may change over time. This is currently
work in progress as part of a PhD by Dimitra Gkatzia and
in connection with the Help4Mood project.
Original languageEnglish
Title of host publicationProceedings of Symposium: Influencing People with Information (SIPI)
Place of PublicationAberdeen
Publication statusPublished - Apr 2012
EventSymposium: Influencing People with Information (SIPI) - Aberdeen, UK, United Kingdom
Duration: 25 Apr 2012 → …

Conference

ConferenceSymposium: Influencing People with Information (SIPI)
CountryUnited Kingdom
CityAberdeen, UK
Period25/04/12 → …

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