Title :
Radiommender: P2P on-line radio with a distributed recommender system
Author :
Hecht, Fabio V. ; Bocek, Thomas ; Bär, Nicolas ; Erdin, Robert ; Kuster, Beat ; Zeeshan, Marium ; Stiller, Burkhard
Author_Institution :
Dept. of Inf. (IFI), Univ. of Zurich, Zurich, Switzerland
Abstract :
Radiommender is a fully-distributed, peer-to-peer on-line radio. Users can share their music collection and explore music collections of other users. The difference to current file sharing systems is that songs do not need to be searched individually - a distributed recommender system is used to estimate user preference. Recommendation is done with a combination of an implicit voting system that assigns songs to search terms and an affinity network that correlates user interest. The demonstration shows the software functionality and includes the visualization of affinity graphs built by the recommender system.
Keywords :
Internet; collaborative filtering; data visualisation; graph theory; multimedia systems; music; peer-to-peer computing; recommender systems; P2P online radio; affinity graph visualization; affinity network; distributed recommender system; file sharing systems; implicit voting system; music collection sharing; peer-to-peer online radio; radiommender; search terms; software functionality; songs assignment; user interest; user preference estimation; Computer architecture; Media; Music; Peer to peer computing; Recommender systems; Servers; Software;
Conference_Titel :
Peer-to-Peer Computing (P2P), 2012 IEEE 12th International Conference on
Conference_Location :
Tarragona
Print_ISBN :
978-1-4673-2860-9
Electronic_ISBN :
978-1-4673-2861-6
DOI :
10.1109/P2P.2012.6335817