This application (written in Python for Symbian 3rd Ed Platform) aim is to take advantages from the mobile platform, the GPS, the wireless connectivity and the web 2.0 user-power of last.fm and flickr services to provide a cool mash-up that offers relevant context-based data to the user.
It offers, in a user-friendly interface, the ability to show the user’s favourite artists and the related/recommended artist’s events. From the event view it’s possible to add event to the phone calendar and to take picture of relevant events. The user can also download pictures from flickr for one of the user favourite artists.
Moreover, thanks to the built-in GPS it is also possible to see charts for the country in which the user is located (or even one inserted manually).This prototype was developed for a web 2.0 course at the Technical University of Denmark, Copenhagen by a group of 4 international students.
The software take specific advantage of:
Flickr turns out to offer pretty advanced Web Services, although for the implementation they are not mobile-friendly. Last.fm instead offers really simple APIs that don’t even require any sort of authentication.
Both of the services take full advantage of the content provided by the user, the first to add
semantic to images and the second to add it to songs and relate them with tastes.
The mobile is the killer-platform to use these services, it’s a device strictly related to the
user life and offers the chance to further filter the data received from the web services. We are
indeed taking advantages from the context.
The context is built partially from the information provided from Last.fm (the user musical taste) and partially from the mobile data, specifically:
Thanks to all this knowledge the software is able to address the user with interesting content without any extra-effort from him.