Improving Mobile Recommendations through Context-Aware User Interaction

  • Béatrice Lamche
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8538)

Abstract

Mobile recommender systems provide personalized recommendations to help deal with today’s information overload. However, due to spatial limitations in mobile interfaces and uncertainty of the user’s preferences in the beginning, the improvement of the user experience remains one of the main challenges when designing these systems and has not been investigated thoroughly. This paper describes the aim and progress of the author’s PhD studies on the user interaction, usability and accuracy of mobile recommender systems. The approach aims to combine different user interaction methods with context-awareness to allow user-friendly personalized mobile recommendations.

Keywords

mobile recommender systems user modelling context-awareness 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Béatrice Lamche
    • 1
  1. 1.Technische Universität MünchenGarchingGermany

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