Skip to main content
main-content
Top

Hint

Swipe to navigate through the articles of this issue

08-11-2016 | Methodologies and Application | Issue 3/2018

Soft Computing 3/2018

Session-aware music recommendation via a generative model approach

Journal:
Soft Computing > Issue 3/2018
Authors:
Zhao-quan Cai, Hui Hu
Important notes
Communicated by V. Loia.

Abstract

Music recommendation is a critical technology enabling users to overcome the overload of songs in the music sites. Although existing methods of similar retrieval or sequence prediction have attained success to some extend, one important factor has not been considered in the previous work, that is, users may change their music interest in different sessions. How to define the users’ current interest is still a problem. In this paper, we propose a topic-based probabilistic model for addressing this problem by developing session-aware latent topics to model the users’ listening behavior. The model is designed based on the insight that users’ listening behavior is subjected to not only their personal interest, but also to their special interest in the session. Specifically, when making recommendation, our model estimates the probability of the song selection based on the mixture of the two aspects with a weight-based scheme. We have conducted experiments on a real music dataset from Last.fm. The empirical results demonstrate that our model performs much better than other state-of-the-art methods.

Please log in to get access to this content

To get access to this content you need the following product:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 69.000 Bücher
  • über 500 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Umwelt
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Testen Sie jetzt 30 Tage kostenlos.

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 58.000 Bücher
  • über 300 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Testen Sie jetzt 30 Tage kostenlos.

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 50.000 Bücher
  • über 380 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Umwelt
  • Maschinenbau + Werkstoffe




Testen Sie jetzt 30 Tage kostenlos.

Literature
About this article

Other articles of this Issue 3/2018

Soft Computing 3/2018 Go to the issue

Methodologies and Application

Kripke semantics for fuzzy logics

Premium Partner

    Image Credits