• DocumentCode
    3571664
  • Title

    Adopting STP for Diet Management

  • Author

    Anselma, Luca ; Mazzei, Alessandro ; Piovesan, Luca ; De Michieli, Franco

  • fYear
    2014
  • Firstpage
    371
  • Lastpage
    371
  • Abstract
    We devise a scenario the interaction between the man and the food is mediated by an intelligent recommendation system that, on the basis of various factors, encourages (or discourages) the user to eat a specific course. The main factors that the system need to account for are (1) the diet that the user intends to follow, (2) the food that s/he has eaten in the last days or that s/he intends to eat in the next days, and (3) the nutritional values of the courses and their specific recipes. Automatic reasoning and Natural Language Generation (NLG) play a fundamental role in this project: the compatibility of a food with a diet is formalized as a Simple Temporal Problem (STP), while the NLG tries to motivate the user. In this paper we briefly sketch the formalization and the related reasoning facilities that we intend to devise.
  • Keywords
    health care; inference mechanisms; natural language processing; recommender systems; STP; automatic reasoning; course nutritional values; diet management; food-diet compatibility; intelligent recommendation system; natural language generation; simple temporal problem; Cognition; Electronic mail; Lipidomics; Natural languages; Proteins; Sun; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Healthcare Informatics (ICHI), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICHI.2014.66
  • Filename
    7052521