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: 1|Bibtex|Views9|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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