DocumentCode
1886792
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
fYear
2012
fDate
3-5 Sept. 2012
Firstpage
73
Lastpage
74
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/P2P.2012.6335817
Filename
6335817
Link To Document