Now showing items 1-2 of 2

    • Impact of Listening Behavior on Music Recommendation 

      Farrahi K; Schedl M; Vall A; Hauger D; Tkalcic M (ISMIR, 2014)
      The next generation of music recommendation systems will be increasingly intelligent and likely take into account user behavior for more personalized recommendations. In this work we consider user behavior when making ...
    • On the Influence of User Characteristics on Music Recommendation Algorithms 

      Schedl M; Hauger D; Farrahi K; Tkalcic M (Springer, 2015)
      We investigate a range of music recommendation algorithm combinations, score aggregation functions, normalization techniques, and late fusion techniques on approximately 200 million listening events collected through ...