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Online Recommender System for Radio Station Hosting

  • Dmitry I. Ignatov
  • Andrey V. Konstantinov
  • Sergey I. Nikolenko
  • Jonas Poelmans
  • Vasily V. Zaharchuk
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 128)

Abstract

We describe a new recommender system for the Russian interactive radio network FMhost. The underlying model combines collaborative and user-based approaches. The system extracts information from tags of listened tracks for matching user and radio station profiles and follows an adaptive online learning strategy based on user history. We also provide some basic examples and describe the quality of service evaluation methodology.

Keywords

music recommender systems interactive radio network e-commerce quality of service 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Dmitry I. Ignatov
    • 1
  • Andrey V. Konstantinov
    • 1
  • Sergey I. Nikolenko
    • 2
    • 3
  • Jonas Poelmans
    • 1
  • Vasily V. Zaharchuk
    • 1
  1. 1.Higher School of EconomicsNational Research UniversityRussia
  2. 2.Steklov Mathematical InstituteSt. PetersburgRussia
  3. 3.St. Petersburg Academic UniversitySt. PetersburgRussia

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