Exploring mobile news reading interactions for news app personalisation Marios Constantinides1, John Dowell1, David Johnson1, Sylvain Malacria1, 2 1 University College London, 2 Inria Lille London, United Kingdom Lille, France {m.constantinides, j.dowell}@cs.ucl.ac.uk
[email protected] [email protected] ABSTRACT Mobile news access perfectly complements the As news is increasingly accessed on smartphones and continuously updating, 24-hour nature of digital news tablets, the need for personalising news app interactions is services. But if users are now never out of range of the apparent. We report a series of three studies addressing key news, they need more than ever for that access to be issues in the development of adaptive news app interfaces. adaptive and personalised. Personalised news services are We first surveyed users’ news reading preferences and already able to help people find news that is relevant to behaviours; analysis revealed three primary types of reader. them, to recommend the right news to the right users, and to We then implemented and deployed an Android news app help users keep abreast of news by aggregation over that logs users’ interactions with the app. We used the logs multiple sources. This adaptivity is achieved through to train a classifier and showed that it is able to reliably several methods [5] including: news content personalisation recognise a user according to their reader type. Finally we by pushing filtered articles predicted to match the user’s evaluated alternative, adaptive user interfaces for each interests; adaptive news browsing by changing the order of reader type.