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.
This work was partially funded by the European Commission within the FP6 IST grant number FP6-27312 and partially by the Slovenian Research Agency ARRS under the grant P2-0246.
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Tkalčič, M., Burnik, U., Odić, A., Košir, A., Tasič, J. (2013). Emotion-Aware Recommender Systems – A Framework and a Case Study. In: Markovski, S., Gusev, M. (eds) ICT Innovations 2012. ICT Innovations 2012. Advances in Intelligent Systems and Computing, vol 207. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37169-1_14
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DOI: https://doi.org/10.1007/978-3-642-37169-1_14
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