Understanding and Predicting Online Food Recipe Production Patterns
| Autor: | Tomasz Kusmierczyk, Kjetil Nørvåg, Christoph Trattner |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
Process (engineering) 020204 information systems Recipe 0202 electrical engineering electronic engineering information engineering Production (economics) 020201 artificial intelligence & image processing Lack of knowledge 02 engineering and technology Creational pattern Food Patterns Data science |
| Zdroj: | HT |
| DOI: | 10.1145/2914586.2914632 |
| Popis: | Studying online food patterns has recently become an active field of research. While there are a growing body of studies that investigate how online food in consumed, little effort has been devoted yet to understand how online food recipes are being created. To contribute to this lack of knowledge in the area, we present in this paper the results of a large-scale study that aims at understanding how historical, social and temporal factors impact on the online food creation process. Several experiments reveal the extent to which various factors are useful in predicting future recipe production. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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