Title :
Adopting STP for Diet Management
Author :
Anselma, Luca ; Mazzei, Alessandro ; Piovesan, Luca ; De Michieli, Franco
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;
Conference_Titel :
Healthcare Informatics (ICHI), 2014 IEEE International Conference on
DOI :
10.1109/ICHI.2014.66