Make Me Laugh: Recommending Humoristic Content on the WWW
| dc.contributor.author | Buschek, Daniel | de_DE |
| dc.contributor.author | Just, Ingo | de_DE |
| dc.contributor.author | Fritzsche, Benjamin | de_DE |
| dc.contributor.author | Alt, Florian | de_DE |
| dc.contributor.editor | Diefenbach, Sarah | de_DE |
| dc.contributor.editor | Henze, Niels | de_DE |
| dc.contributor.editor | Pielot, Martin | de_DE |
| dc.date.accessioned | 2017-11-22T15:02:29Z | |
| dc.date.available | 2017-11-22T15:02:29Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | 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. | de_DE |
| dc.identifier.isbn | 978-3-11-044392-9 | de_DE |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/7901 | |
| dc.publisher | De Gruyter Oldenbourg | de_DE |
| dc.relation.ispartof | Mensch und Computer 2015 – Proceedings | de_DE |
| dc.relation.ispartofseries | Mensch & Computer | de_DE |
| dc.subject | Humor | de_DE |
| dc.subject | Recommender Systems | de_DE |
| dc.subject | World Wide Web | de_DE |
| dc.title | Make Me Laugh: Recommending Humoristic Content on the WWW | de_DE |
| dc.type | Text/Conference Paper | de_DE |
| gi.citation.endPage | 201 | |
| gi.citation.publisherPlace | Berlin | de_DE |
| gi.citation.startPage | 193 | de_DE |
| gi.conference.sessiontitle | Interaktive Anwendungen | de_DE |
| gi.document.quality | digidoc | de_DE |
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