DocumentCode :
3696174
Title :
Ingredient substitute recommendation for allergy-safe cooking based on food context
Author :
cAmi Ooi;cToshiya Iiba;cKosuke Takano
Author_Institution :
Department of Information and Computer Sciences, Kanagawa Institute of Technology, Atsugi, Japan
fYear :
2015
Firstpage :
444
Lastpage :
449
Abstract :
With the increasing number of food-allergenic patients, we have many online services providing allergy-safe food recipes; however, the number of the allergy-safe food recipes is much smaller than ordinary food recipes. It is deemed that we can have more allergy-safe food recipes, if allergy-free ingredients could be extracted from the large number of the ordinary food recipes. However, it is difficult to extract substitute ingredients suitable for certain food only by specifying allergy ingredients in the recipe, because not every potential substitute ingredient works the same way in a recipe. In this study, we propose an ingredient substitute suggestion method for allergy-safe cooking based on food context as extracted by examining recipe similarity. By considering food context for allergy ingredients, the precision of extracting allergy-free ingredients can be improved. In the experiments, we confirm the feasibility of our proposed method.
Keywords :
"Context","Metadata","Dairy products","Powders","Data mining","Planning","Color"
Publisher :
ieee
Conference_Titel :
Communications, Computers and Signal Processing (PACRIM), 2015 IEEE Pacific Rim Conference on
Electronic_ISBN :
2154-5952
Type :
conf
DOI :
10.1109/PACRIM.2015.7334878
Filename :
7334878
Link To Document :
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