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

Springer papers

Authors

Marko Tkalcic , Urban Burnik , Ante Odic , Andrej Kosir and Jurij F. Tasic

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