Social Recommendations Meet BitTorrent on Tribler

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tribler2.pngA BitTorrent client developed by the Delft University of Technology and the VU University Amsterdam brings dynamic social recommendations to the BitTorrent world.

Tribler version 4.0 takes the concept of what is popular and gives it a solid Web 2.0 twist. Pandora and Last.fm style, Tribler recommends downloads based on a user’s history.

The client also supports YouTube browsing. The engine behind Tribler uses data gathered from viewing YouTube videos in combination with download history to suggest new videos to watch.

The confluence of various Web 2.0 ideas into a BitTorrent client may be a logical step forward in terms of development, but will a swiss army approach have a large appeal to a broad audience?

Triber has been designed as part of a research project that has 20 scientists working on it with €6 million to spend. As a research project it is interesting, yet if the concept is strong it will only be proven by future downloads and use of Tribler by the BitTorrent using community.

(via NewTeeVee)
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