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A Framework for Interaction-driven User Modeling of Mobile News Reading Behaviour

Dowell, J; Constantinides, M; (2018) A Framework for Interaction-driven User Modeling of Mobile News Reading Behaviour. In: Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization UMAP '18. ACM: Singapore. Green open access

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Abstract

The news you read is, of course, a highly individual choice and one for which substantial and successful news recommendation techniques have been developed. But as well as what news you read, the way you choose and read that news is also known to be highly individual. We propose a framework for extending the user profile of news readers with features of these interactions. The extensions are dynamic through monitoring an individual's reading and browsing activity. They include factors learned from the user's interaction log and also factors inferred from category level definitions contained in the framework. We report a study in which users' interaction logs with a news app are used to generate user profiles that are verified with self-reported questionnaire data about reading habits. We discuss the implications of our user modeling approach in news personalisation for both recommendation and user interface personalisation for news apps.

Type: Proceedings paper
Title: A Framework for Interaction-driven User Modeling of Mobile News Reading Behaviour
Event: 26th Conference on User Modeling, Adaptation and Personalization
Location: Singapore
Dates: 08 July 2018 - 11 July 2018
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3209219.3209229
Publisher version: http://doi.org/10.1145/3209219.3209229
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.
Keywords: User Modeling; Personalisation; News Reading Behaviour;
UCL classification: UCL
UCL > Provost and Vice Provost Offices
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/10052637
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