Adaptive Selection and Delivery of Rich Media Notifications to Mobile Users
Master thesis
Permanent lenke
http://hdl.handle.net/11250/2564409Utgivelsesdato
2018-06Metadata
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Sammendrag
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.
Beskrivelse
Master's thesis in Computer science