Integrated Speaker Classification for Mobile Shopping Applications

  • Michael Feld
  • Gerrit Kahl
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5149)

Abstract

This paper presents an approach to how speaker classification can be used to enable new ways for recommender systems in a mobile shopping environment to bootstrap user models and avoid common problems such as the “early rater”. In a concrete shopping scenario, we introduce the speech-controlled Mobile ShopAssist demonstrator that allows a new customer to more quickly find a product that fulfills his or her demographic group’s specific requirements by exploiting features extracted from speech using the Agender speaker classification system. We propose a method for computing preference scores based on the user’s profile and demonstrate how the application’s GUI can be adapted to deliver the recommendations to the user.

Keywords

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Michael Feld
    • 1
  • Gerrit Kahl
    • 1
  1. 1.German Research Center for Artificial Intelligence, DFKI 

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