Dowell, J;
Constantinides, M;
(2019)
Extending the Evaluation Paradigm for Personalisation: A Categorisation Use Case.
In: Papadopoulos, George Angelos and Samaras, George and Weibelzahl, Stephan, (eds.)
Proceedings of the 27th Conference on User Modeling, Adaptation and Personalization.
(pp. pp. 221-222).
ACM: New York, NY, USA.
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Abstract
The Conlan whitepaper makes a compelling case for a community-scale means of evaluating algorithms for user modeling, adaptation and personalisation (UMAP). The authors propose an evaluation paradigm focused on a personalisation use case within an open modeling environment. Their use case is one where a mobile interface learns a user's preferences for different notifications in different contexts. Additional use cases could be incorporated in this paradigm to provide contrasting kinds of challenge for personalisation evaluation. In this position paper we summarise a use case where personalisation is achieved by categorising a user and switching their interface to a variant. The user interface is a mobile news app within a platform that also comprises a user modeling function and an interface personalisation service. Comparison of the use cases helps to map the space for the evaluation paradigm.
Type: | Proceedings paper |
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Title: | Extending the Evaluation Paradigm for Personalisation: A Categorisation Use Case |
Event: | 27th Conference on User Modeling, Adaptation and Personalization |
Dates: | 09 June 2019 - 12 June 2019 |
ISBN-13: | 9781450367110 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/3314183.3323682 |
Publisher version: | https://doi.org/10.1145/3314183.3323682 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10077578 |



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