research-article

Live Personalized Nutrition Recommendation Engine

Authors:

Vaibhav Pandey,

Ramesh JainAuthors Info & Claims

MMHealth '17: Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care

Pages 61 - 68

https://doi.org/10.1145/3132635.3132643

Published: 23 October 2017 Publication History

Abstract

Dietary choices are the primary determinants of prominent diseases such as diabetes, heart disease, and obesity. Human health care providers, such as dietitians, cannot be at the side of every user at all times to manually guide them towards optimal choices. Automated adaptive guidance fused with expert knowledge can use multimedia data to technologically scale health guidance without human intervention. Addressing the correct granularity of recommendations (in this case meal dishes) is essential for effortless decision making. Thus we make a decision support system using multi-modal data relying on timely, contextually aware, personalized data to find local restaurant dishes to satisfy a user's needs. Algorithms in this system take nutritional facts regarding products, efficiently calculate which items are healthiest, then re-rank and filter results to users based on their personalized health data streams and environmental context. Our recommendation engine is driven by the primary goal of lowering the barriers to a personalized healthy choice when eating out, by distilling dish suggestions to a single contextually aware and easily understood score.

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Cited By

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https://doi.org/10.1109/ICDT61202.2024.10489453
Briazu RBell LDodd GBlackburn SMassri CChang BFischaber SKehlbacher AWilliams CMethven LMcCloy R(2024)The effectiveness of personalised food choice advice tailored to an individual’s socio-demographic, cognitive characteristics, and sensory preferences.Appetite10.1016/j.appet.2024.107600(107600)Online publication date: Jul-2024
https://doi.org/10.1016/j.appet.2024.107600
Kar PRoy MDatta SKar PRoy MDatta S(2024)Recommender System for Health CareRecommender Systems: Algorithms and their Applications10.1007/978-981-97-0538-2_10(113-130)Online publication date: 12-Jun-2024
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Index Terms

Live Personalized Nutrition Recommendation Engine
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing theory, concepts and paradigms
    2. Ubiquitous and mobile devices
      1. Smartphones
2. Information systems
  1. Information systems applications
    1. Mobile information processing systems

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Published In

cover image ACM Conferences

MMHealth '17: Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care

October 2017

104 pages

ISBN:9781450355049

DOI:10.1145/3132635

Program Chairs:
Susanne Boll
University of Oldenburg, Germany
,
Touradj Ebrahimi
EPFL, Switzerland
,
Cathal Gurrin
Dublin City University, Ireland
,
Ramesh Jain
UC Irvine, USA
,
Laleh Jalali
Hitachi America Ltd. USA
,
Jochen Meyer
OFFIS-Institute for Information Technology, Germany
,
Noel O'Connor
Dublin City University, Ireland

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 23 October 2017

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MM '17: ACM Multimedia Conference

October 23, 2017

California, Mountain View, USA

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Cited By

Agarwal SUppal MGupta DJuneja SKashyap R(2024)A User Preference-Based Food Recommender System using Artificial Intelligence2024 2nd International Conference on Disruptive Technologies (ICDT)10.1109/ICDT61202.2024.10489453(519-523)Online publication date: 15-Mar-2024
https://doi.org/10.1109/ICDT61202.2024.10489453
Briazu RBell LDodd GBlackburn SMassri CChang BFischaber SKehlbacher AWilliams CMethven LMcCloy R(2024)The effectiveness of personalised food choice advice tailored to an individual’s socio-demographic, cognitive characteristics, and sensory preferences.Appetite10.1016/j.appet.2024.107600(107600)Online publication date: Jul-2024
https://doi.org/10.1016/j.appet.2024.107600
Kar PRoy MDatta SKar PRoy MDatta S(2024)Recommender System for Health CareRecommender Systems: Algorithms and their Applications10.1007/978-981-97-0538-2_10(113-130)Online publication date: 12-Jun-2024
https://doi.org/10.1007/978-981-97-0538-2_10
Yera RAlzahrani AMartínez LRodríguez R(2023)A Systematic Review on Food Recommender Systems for Diabetic PatientsInternational Journal of Environmental Research and Public Health10.3390/ijerph2005424820:5(4248)Online publication date: 27-Feb-2023
https://doi.org/10.3390/ijerph20054248
Islam TJoyita AAlam MMehedi Hassan MHassan MGravina R(2023)Human-Behavior-Based Personalized Meal Recommendation and Menu Planning Social SystemIEEE Transactions on Computational Social Systems10.1109/TCSS.2022.321350610:4(2099-2110)Online publication date: Aug-2023
https://doi.org/10.1109/TCSS.2022.3213506
Agrawal KKumar N(2023)Artificial Intelligence Innovations: Inception of new horizons in food processing sector2023 IEEE Silchar Subsection Conference (SILCON)10.1109/SILCON59133.2023.10404183(1-8)Online publication date: 3-Nov-2023
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Sandri SMolinari A(2023)Preference Learning in Food Recommendation: the "Myfood" Case Study2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)10.1109/ICECCME57830.2023.10253409(1-6)Online publication date: 19-Jul-2023
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Zhang JWang ZLiu WLiu XZheng Q(2023)A unified approach to designing sequence-based personalized food recommendation systems: tackling dynamic user behaviorsInternational Journal of Machine Learning and Cybernetics10.1007/s13042-023-01808-714:9(2903-2912)Online publication date: 25-Mar-2023
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Zhou PBai CXia JChen S(2022)CMRDF: A Real-Time Food Alerting System Based on Multimodal DataIEEE Internet of Things Journal10.1109/JIOT.2020.29960099:9(6335-6349)Online publication date: 1-May-2022
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