Abstract Proceedings of ICIRESM – 2020
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NEWS FEED APP
As news is increasingly accessed on smartphones and tablets, the need for personalizing news app interactions is apparent. We report a series of three studies addressing key issues in the development of adaptive news app interfaces. We first surveyed users' news reading preferences and behaviors; analysis revealed three primary types of reader. We then implemented and deployed an Android news app that logs users' interactions with the app. We used the logs to train a classifier and showed that it is able to reliably recognize a user according to their reader type. Finally we evaluated alternative, adaptive user interfaces for each reader type. The evaluation demonstrates the differential benefit of the adaptation for different users of the news app and the feasibility of adaptive interfaces for news apps.
news app, smartphones.
13/11/2020
140
20140
IMPORTANT DAYS
Paper Submission Last Date
February 27th, 2026
Notification of Acceptance
March 25th, 2026
Camera Ready Paper Submission & Author's Registration
April 20th, 2026
Date of Conference
May 29th, 2026