Trattner, Christoph and Moesslang, Dominik and Elsweiler, David (2018) On the predictability of the popularity of online recipes. EPJ DATA SCIENCE, 7: 20. ISSN 2193-1127,
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Popularity prediction has been studied in diverse online contexts with demonstrable practical, sociological and technical benefit. Here, we add to the popularity prediction literature by studying the popularity of recipes on two large and well visited online recipe portals (Allrecipes.com, USA and Kochbar.de, Germany). Our analyses show differences between the platforms in terms of how the recipes are interacted with and categorized, as well as in the content of the food and its nutritional properties. For both datasets, we were able to show correlations between recipe features and proxies for popularity, which allow popularity of dishes to be predicted with some accuracy. The trends were more prominent in the Kochbar.de dataset, which was mirrored in the results of the prediction task experiments.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | FOOD-CONSUMPTION; CHOICE; PATTERNS; PREDICTION; WEB; COUNTRIES; MOTIVES; SYSTEMS; OBESITY; MODEL; Online recipes; Food; Popularity |
| Subjects: | 000 Computer science, information & general works > 020 Library & information sciences |
| Divisions: | Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Informationswissenschaft |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 12 Feb 2020 14:24 |
| Last Modified: | 12 Feb 2020 14:24 |
| URI: | https://pred.uni-regensburg.de/id/eprint/14256 |
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