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Online Recommender System for Radio Station Hosting

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Book cover Perspectives in Business Informatics Research (BIR 2012)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 128))

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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.

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Author information

Authors and Affiliations

  1. Higher School of Economics, National Research University, Russia

    Dmitry I. Ignatov, Andrey V. Konstantinov, Jonas Poelmans & Vasily V. Zaharchuk

  2. Steklov Mathematical Institute, St. Petersburg, Russia

    Sergey I. Nikolenko

  3. St. Petersburg Academic University, St. Petersburg, Russia

    Sergey I. Nikolenko

Authors
  1. Dmitry I. Ignatov
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  2. Andrey V. Konstantinov
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  3. Sergey I. Nikolenko
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  4. Jonas Poelmans
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  5. Vasily V. Zaharchuk
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Editor information

Editors and Affiliations

  1. Higher School of Economics, Dept. of Information Systems and Technologies, National Research University, Bol. Pecherskaya 25, 603155, Nizhny Novgorod, Russia

    Natalia Aseeva  & Eduard Babkin  & 

  2. Higher School of Economics, National Research University, Bol. Pecherskaya 25, 603155, Nizhny Novgorod, Russia

    Oleg Kozyrev

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© 2012 Springer-Verlag Berlin Heidelberg

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Ignatov, D.I., Konstantinov, A.V., Nikolenko, S.I., Poelmans, J., Zaharchuk, V.V. (2012). Online Recommender System for Radio Station Hosting. In: Aseeva, N., Babkin, E., Kozyrev, O. (eds) Perspectives in Business Informatics Research. BIR 2012. Lecture Notes in Business Information Processing, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33281-4_1

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  • DOI: https://doi.org/10.1007/978-3-642-33281-4_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33280-7

  • Online ISBN: 978-3-642-33281-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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