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Intelligent food planning: personalized recipe recommendation

Authors:

Jill Freyne,

Shlomo BerkovskyAuthors Info & Claims

IUI '10: Proceedings of the 15th international conference on Intelligent user interfaces

Pages 321 - 324

https://doi.org/10.1145/1719970.1720021

Published: 07 February 2010 Publication History

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Abstract

As the obesity epidemic takes hold across the world many medical professionals are referring users to online systems aimed at educating and persuading users to alter their lifestyle. The challenge for many of these systems is to increase initial adoption and sustain participation for sufficient time to have real impact on the life of its users. In this work we present some preliminary investigation into the design of a recipe recommender, aimed at educating and sustaining user participation, which makes tailored recommendations of healthy recipes. We concentrate on the two initial dimensions of food recommendations: data capture and food-recipe relationships and present a study into the suitability of varying recommender algorithms for the recommendation of recipes.

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Cited By

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Chen LPeng XDong LWang ZShen ZCui X(2024)Food Public Opinion Prevention and Control Model Based on Sentiment AnalysisFoods10.3390/foods1322369713:22(3697)Online publication date: 20-Nov-2024
https://doi.org/10.3390/foods13223697
Arabella Matulessy SBaizal Z(2024)Food Recommendation with Balanced Nutrition Using Context-Aware Knowledge-Base2024 International Conference on Data Science and Its Applications (ICoDSA)10.1109/ICoDSA62899.2024.10651995(403-408)Online publication date: 10-Jul-2024
https://doi.org/10.1109/ICoDSA62899.2024.10651995
Akujuobi ULiu SBesold T(2024)Revisiting named entity recognition in food computing: enhancing performance and robustnessArtificial Intelligence Review10.1007/s10462-024-10834-y57:9Online publication date: 10-Aug-2024
https://doi.org/10.1007/s10462-024-10834-y
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Index Terms

Intelligent food planning: personalized recipe recommendation
1. Information systems

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Information & Contributors

Information

Published In

IUI '10: Proceedings of the 15th international conference on Intelligent user interfaces

February 2010

460 pages

ISBN:9781605585154

DOI:10.1145/1719970

General Chairs:
Charles Rich
Worcester Polytechnic Institute, USA
,
Qiang Yang
Hong Kong University of Science & Technology, China
,
Program Chairs:
Marc Cavazza
Teesside University, UK
,
Michelle Zhou
IBM Research, China

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 ACM 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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Association for Computing Machinery

New York, NY, United States

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Published: 07 February 2010

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IUI '10: 15th International Conference on Intelligent User Interfaces

February 7 - 10, 2010

Hong Kong, China

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Overall Acceptance Rate 746 of 2,811 submissions, 27%

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Cited By

View all

Chen LPeng XDong LWang ZShen ZCui X(2024)Food Public Opinion Prevention and Control Model Based on Sentiment AnalysisFoods10.3390/foods1322369713:22(3697)Online publication date: 20-Nov-2024
https://doi.org/10.3390/foods13223697
Arabella Matulessy SBaizal Z(2024)Food Recommendation with Balanced Nutrition Using Context-Aware Knowledge-Base2024 International Conference on Data Science and Its Applications (ICoDSA)10.1109/ICoDSA62899.2024.10651995(403-408)Online publication date: 10-Jul-2024
https://doi.org/10.1109/ICoDSA62899.2024.10651995
Akujuobi ULiu SBesold T(2024)Revisiting named entity recognition in food computing: enhancing performance and robustnessArtificial Intelligence Review10.1007/s10462-024-10834-y57:9Online publication date: 10-Aug-2024
https://doi.org/10.1007/s10462-024-10834-y
Buzcu BPannatier YAydoğan RIgnaz Schumacher MCalbimonte JCalvaresi D(2024)A Framework for Explainable Multi-purpose Virtual Assistants: A Nutrition-Focused Case StudyExplainable and Transparent AI and Multi-Agent Systems10.1007/978-3-031-70074-3_4(58-78)Online publication date: 6-May-2024
https://dl.acm.org/doi/10.1007/978-3-031-70074-3_4
NONAKA T(2023)System Design for Food and Cooking Recipe Designおいしさのシステムデザインと調理レシピ設計Journal of Japan Society of Kansei Engineering10.5057/kansei.21.1_2421:1(24-27)Online publication date: 31-Mar-2023
https://doi.org/10.5057/kansei.21.1_24
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
Zioutos KKondylakis HStefanidis K(2023)Healthy Personalized Recipe Recommendations for Weekly Meal PlanningComputers10.3390/computers1301000113:1(1)Online publication date: 20-Dec-2023
https://doi.org/10.3390/computers13010001
Germino JSzymanski AEicher-Miller HMetoyer RChawla N(2023)A community focused approach toward making healthy and affordable daily diet recommendationsFrontiers in Big Data10.3389/fdata.2023.10862126Online publication date: 6-Nov-2023
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Starke AAsotic ETrattner CVan Loo E(2023)Examining the User Evaluation of Multi-List Recommender Interfaces in the Context of Healthy Recipe ChoicesACM Transactions on Recommender Systems10.1145/35819301:4(1-31)Online publication date: 24-Feb-2023
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Song YYang XXu C(2023)Self-supervised Calorie-aware Heterogeneous Graph Networks for Food RecommendationACM Transactions on Multimedia Computing, Communications, and Applications10.1145/352461819:1s(1-23)Online publication date: 3-Feb-2023
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