Emotion-Aware Recommender Systems – A Framework and a Case Study

  • Marko Tkalčič
  • Urban Burnik
  • Ante Odić
  • Andrej Košir
  • Jurij Tasič
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 207)

Abstract

Recent work has shown an increase of accuracy in recommender systems that use emotive labels. In this paper we propose a framework for emotion-aware recommender systems and present a survey of the results in such recommender systems. We present a consumption-chain-based framework and we compare three labeling methods within a recommender system for images: (i) generic labeling, (ii) explicit affective labeling and (iii) implicit affective labeling.

Keywords

recommender systems emotion detection multimedia con-sumption chain 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Marko Tkalčič
    • 1
  • Urban Burnik
    • 1
  • Ante Odić
    • 1
  • Andrej Košir
    • 1
  • Jurij Tasič
    • 1
  1. 1.Faculty of Electrical EngineeringUniversity of LjubljanaLjubljanaSlovenia

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