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.
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 language | English |
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Title of host publication | Proceedings of Symposium: Influencing People with Information (SIPI) |
Place of Publication | Aberdeen |
Publication status | Published - Apr 2012 |
Event | Symposium: Influencing People with Information (SIPI) - Aberdeen, UK, United Kingdom Duration: 25 Apr 2012 → … |
Conference
Conference | Symposium: Influencing People with Information (SIPI) |
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Country/Territory | United Kingdom |
City | Aberdeen, UK |
Period | 25/04/12 → … |