【中英雙語】279關(guān)于計(jì)算機(jī)專業(yè)食品食物推薦應(yīng)用程序app系統(tǒng)設(shè)計(jì)有關(guān) 的外文文獻(xiàn)翻譯成品：dietos：用于自適應(yīng)飲食監(jiān)測(cè)和個(gè)性化食物建議的推薦系統(tǒng)（中英文雙語對(duì)照）

1、此文檔是畢業(yè)設(shè)計(jì)外文翻譯成品（ 含英文原文+中文翻譯） ，無需調(diào)整復(fù)雜的格式！下載之后直接可用，方便快捷！本文價(jià)格不貴,也就幾十塊錢！一輩子也就一次的事！外文標(biāo)題：DIETOS: a recommender system for adaptive diet monitoring and personalized food suggestion外文作者：Agapito G., Calabrese B., Guzzi P. H., Cann

2、ataro M.Agapito G., Calabrese B., Guzzi P. H., Cannataro M.文獻(xiàn)出處: 2018 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (如覺得年份太老，可改為近 2 年，畢竟很多畢業(yè)生都這樣做)英文 5390 單詞，34197 字符(

3、字符就是印刷符)，中文 8407 漢字。 （如果字?jǐn)?shù)多了，可自行刪減，大多數(shù)學(xué)校都是要求選取外文的一部分內(nèi)容進(jìn)行翻譯的。 ）DIETOS: a recommender system for adaptive diet monitoring and personalized food suggestionAbstract—Nowadays there is a widespread diffusion of mobile applicat

4、ions for weight and diet management. Even though, the most popular apps are not usually experimented in clinical contexts, as well as apps are not supported by medical evidence. Further research is necessary to assess th

5、e effectiveness of apps for weight and diet management. Moreover, there are few examples of food recommender systems that provide to the users nutritional facts about suitable food choices and take into account individua

6、l physiological status and environmental situations. We propose DIETOS (DIET Organizer System), a recommender system for the adaptive delivery of nutrition contents to improve the quality of life of both healthy people a

7、nd individuals affected by chronic diet-related diseases. The proposed system is able to build a user’s health profile, and provides individualized nutritional recommendation according to the health profile. The profile

8、is created through the use of dynamic real-time questionnaires prepared by medical doctors and compiled by the users. Thehypertension and diabetes, themselves clinically silent [13]. The unawareness of being hypertensive

9、, or diabetic or affected by CKD represents the main obstacle to interfere the progression of renal damage and to prevent the occurrence of its complications [14]. Therapeutic diet regimens have been individualized for d

10、ifferent dis- ease stages according to Kidney Disease Outcomes Quality Initiative (KDOQI) guidelines [15]. The clinical profiling represents a fundamental tool for a correct management of the diet in this typology of pat

11、ients while the monitoring of clinical responses and compliance to the prescription is the major mission of nephrologists and nephrology-dedicated nutritionists.We propose a web-based recommender system called DI-ETOS (D

12、IET-Organizer System) that extends a preliminary system presented in [16] to improve the quality of life of healthy and, expecially, individuals affected by chronic diet- related diseases, by combining the needs of leisu

13、re with health benefits. The DIETOS system provides individualized nutritional recommendation according to the user’s health profile defined by following the main guidelines furnished by the medical specialist. The healt

14、h profile is created through the supply of dynamic real-time questionnaires to the user, validated and approved by the medical staff. The system can advise the use of specific typical Calabrian foods, related not only to

15、 particular healthy condition but even to specific pathologies. In the current version, DIETOS can profile users affected by CKD, hypertension, and diabetes besides healthy users. As strength point, there is the capabili

16、ty of DIETOS to give informations about the benefits and side effects of several Calabrian foods for specific diseases or healthy conditions. To the best of our knowledge, DIETOS is the first recommender system that inco

17、rporates a catalog of typical/regional foods; the recommendation of the foods by DIETOS to the users, is based on criteria certified by the medical team as well as the nutritional information of the foods contained in th

18、e database; conversely to the traditional recommender systems that to make recommendation have to classify the users by using navigation data, behaviour data and so on, in DIETOS users are implicitly classified during th

19、e profilation step, in according to his/her health status. The rest of the paper is organized as follows: Section II describes the state of the art related to the dietary monitoring and management web systems and mobile

20、apps. Section III presents the architecture of the DIETOS system, whereas in Section IV design and implementation of a first DIETOS prototype is described. Finally, Section V underlines the future works and concludes the