We devise a scenario where the interaction between man and 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.
Adopting STP for Diet Management
ANSELMA, LUCA;MAZZEI, Alessandro;PIOVESAN, LUCA;DE MICHIELI, Franco
2014-01-01
Abstract
We devise a scenario where the interaction between man and 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.File | Dimensione | Formato | |
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