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Auflistung nach Schlagwort "Humor"

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  • Konferenzbeitrag
    Make Me Laugh: Recommending Humoristic Content on the WWW
    (Mensch und Computer 2015 – Proceedings, 2015) Buschek, Daniel; Just, Ingo; Fritzsche, Benjamin; Alt, Florian
    Humoristic content is an inherent part of the World Wide Web and increasingly consumed for micro-entertainment. However, humor is often highly individual and depends on background knowledge and context. This paper presents an approach to recommend humoristic content fitting each individual user's taste and interests. In a field study with 150 participants over four weeks, users rated content with a 0-10 scale on a humor website. Based on this data, we train and apply a Collaborative Filtering (CF) algorithm to assess individual humor and recommend fitting content. Our study shows that users rate recommended content 22.6% higher than randomly chosen content.