In modern urban lifestyles the consumption of prepared food in restaurants and fast foods is increasing constantly and is becoming a habit among citizens. One side effect of this way of life concerns the increase of the Body Mass Index because citizens tend to choose more foods with high amounts of energy, fats and saturated fats and less healthy foods such as vegetables and fruits. In this paper we describe an intelligent application called DISYS that aims to offer personalized information to consumers when visiting a restaurant in order to support them to select a dish or a meal that is within their preferences but at the same time is healthy for them and in line with their dietary targets and their health conditions. DISYS is operated by restaurant managers who configure the meals and dishes their establishment offers, as well as the nutritional characteristics of each meal. Moreover, dieticians can support their customers by analysing their actions and interactions with the DISYS application with respect to food consumption habits.
%0 Conference Paper
%1 Ntalaperas:2015:DIS:2801948.2801997
%A Ntalaperas, Dimitris
%A Bothos, Efthimios
%A Perakis, Konstantinos
%A Magoutas, Babis
%A Mentzas, Gregoris
%B Proceedings of the 19th Panhellenic Conference on Informatics
%C New York, NY, USA
%D 2015
%I ACM
%K mobile nutrition personalization recommender
%P 382--387
%R 10.1145/2801948.2801997
%T DISYS: An Intelligent System for Personalized Nutritional Recommendations in Restaurants
%U http://doi.acm.org/10.1145/2801948.2801997
%X In modern urban lifestyles the consumption of prepared food in restaurants and fast foods is increasing constantly and is becoming a habit among citizens. One side effect of this way of life concerns the increase of the Body Mass Index because citizens tend to choose more foods with high amounts of energy, fats and saturated fats and less healthy foods such as vegetables and fruits. In this paper we describe an intelligent application called DISYS that aims to offer personalized information to consumers when visiting a restaurant in order to support them to select a dish or a meal that is within their preferences but at the same time is healthy for them and in line with their dietary targets and their health conditions. DISYS is operated by restaurant managers who configure the meals and dishes their establishment offers, as well as the nutritional characteristics of each meal. Moreover, dieticians can support their customers by analysing their actions and interactions with the DISYS application with respect to food consumption habits.
%@ 978-1-4503-3551-5
@inproceedings{Ntalaperas:2015:DIS:2801948.2801997,
abstract = {In modern urban lifestyles the consumption of prepared food in restaurants and fast foods is increasing constantly and is becoming a habit among citizens. One side effect of this way of life concerns the increase of the Body Mass Index because citizens tend to choose more foods with high amounts of energy, fats and saturated fats and less healthy foods such as vegetables and fruits. In this paper we describe an intelligent application called DISYS that aims to offer personalized information to consumers when visiting a restaurant in order to support them to select a dish or a meal that is within their preferences but at the same time is healthy for them and in line with their dietary targets and their health conditions. DISYS is operated by restaurant managers who configure the meals and dishes their establishment offers, as well as the nutritional characteristics of each meal. Moreover, dieticians can support their customers by analysing their actions and interactions with the DISYS application with respect to food consumption habits.},
acmid = {2801997},
added-at = {2015-10-01T12:44:19.000+0200},
address = {New York, NY, USA},
author = {Ntalaperas, Dimitris and Bothos, Efthimios and Perakis, Konstantinos and Magoutas, Babis and Mentzas, Gregoris},
biburl = {https://www.bibsonomy.org/bibtex/28fab91bd8b530d26c88fd60422559111/mrokicki},
booktitle = {Proceedings of the 19th Panhellenic Conference on Informatics},
description = {DISYS},
doi = {10.1145/2801948.2801997},
interhash = {df5f7013910f3a27b171f1ff75dd9810},
intrahash = {8fab91bd8b530d26c88fd60422559111},
isbn = {978-1-4503-3551-5},
keywords = {mobile nutrition personalization recommender},
location = {Athens, Greece},
numpages = {6},
pages = {382--387},
publisher = {ACM},
series = {PCI '15},
timestamp = {2015-10-01T12:44:19.000+0200},
title = {DISYS: An Intelligent System for Personalized Nutritional Recommendations in Restaurants},
url = {http://doi.acm.org/10.1145/2801948.2801997},
year = 2015
}