Affective recommender systems in online news industry: how emotions influence reading choices

Jan Mizgajski
Jan Mizgajski

User Modeling and User-Adapted Interaction, pp. 1-35, 2018.

Cited by: 6|Bibtex|Views35|Links
EI
Keywords:
Recommender systemsAffective computingEmotion analysisEmotion miningNews recommendations

Abstract:

Recommender systems have become ubiquitous over the last decade, providing users with personalized search results, video streams, news excerpts, and purchasing hints. Human emotions are widely regarded as important predictors of behavior and preference. They are a crucial factor in decision making, but until recently, relatively little ha...More

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