Adaptive Selection and Delivery of Rich Media Notifications to Mobile Users

Abstract

The ongoing increase in cellular network coverage is steadily increasing the availability of individuals all around the world. This availability enables notification solutions to achieve their goals of announcing new content with great success. Recently notification systems have evolved to include media content. In cases where this content is of substantial quality and frequency, it may induce large resource consumption. We aim to limit the total resource consumption of media notifications while preserving the user experience. We achieve this by implementing established techniques for measuring the quality of content. We enable the utilization of these techniques by implementing a working systems tackling the practical issues of notification generation, device communication and notification scheduling. We test the system using Spotify as our notification provider and compare our results to the standard FIFO approach of notifications. Using these tests we find that correctly prioritizing content can massively increase a users utilization of notification content.