• 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