• 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