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Personalized Food Recommendation

Hanna Schäfer, Georg Groh, Johann H. Schlichter, Silvia Kolossa, Hannelore Daniel, Ralf Hecktor, Theresa Greupner
2015 International Workshop on Decision Making and Recommender Systems  
The second system uses an adapted collaborative filtering approach to recommend food based on healthiness and taste ratings of other users augmented by a rating based recommender system for sports.  ...  In this paper a food recommender system giving general and personalized advice is described. The system is based on semi-formal knowledge of personal nutrition gained in a previous project (Food4Me).  ...  This study showed that meal recommendations are welcomed but should be provided in a flexible way. In the research field of food recommender systems Freyne et al.  ... 
dblp:conf/dmrs/SchaferGSKDHG15 fatcat:zk7xnby5mngcdbyekkrxbnd6jq

Picture Based Food Recommendation [article]

Hanns Meißner, Michael Stahl
2016 Mensch & Computer  
Der in diesem Paper vorgestellte Prototyp eines bildbasierten Recommender-Systems nutzt solche Fotos als Input und Output.  ...  In einer tagebuchähnlichen Langzeitstudie wurde das neuartige Recommender-Konzept untersucht und erfolgreich validiert. Die Gamification-Features erzielten einen positiven Effekt.  ...  Der grundlegende Unterschied zu anderen Food Recommender-Konzepten besteht in der Beschränkung des In-und Outputs auf Fotos. Der Recommender zeigt immer nur ein Foto an.  ... 
doi:10.18420/muc2016-mci-0206 dblp:conf/mc/MeissnerS16 fatcat:rindrryrkrfilkfqowc34hhdle

Flavour Based Food Recommendation [article]

Aditya Bharadwaj, Aditya Narendra Rao, Akash Kulhalli, Kushal Samir Mehta, Nishant Bhattacharya, Pratul Ramkumar, Nitish Nag, Ramesh Jain, Dinkar Sitaram
2019 arXiv   pre-print
We attempt to build an empirical method to determine the flavour of food and incorporate them into a recommendation engine.  ...  In this work, we explore the effects of flavour on the quality of recommendations.  ...  Particularly, food recommendation [1] use TF-IDF to generate vectors from food items while taking into account food database information.  ... 
arXiv:1904.05331v1 fatcat:d3s4yt5qyjgxjagckkdm2p6qpi

Food Ordering Management using Recommendations

Alfiya M. Shaikh, Aditya C. Shetgaonkar, Sandesh S. Dalvi, Shubham S. Sawant, Kruti V. Singh, Prof. Sagar K. Naik, Prof. Rajesh K. Gauns
2019 International Journal of Advanced Engineering Research and Science  
Additionally, by making use of Apriori algorithm, recommendations will be provided to the customer.  ...  The proposed food ordering management system enables the customer to order the food by selecting the food items from e-menu by registering on the web application or intranet of the institute.  ...  Ordering of food will be lot easier. II. LITERATURE REVIEW Past work In the food recommendation system using clustered database [2] , the data is clustered after getting the input.  ... 
doi:10.22161/ijaers.6.6.17 fatcat:pb5gxh7r2vhaxjy6jauqap5mwi

Interactive Food Recommendation for Groups

Mehdi Elahi, Mouzhi Ge, Francesco Ricci, David Massimo, Shlomo Berkovsky
2014 ACM Conference on Recommender Systems  
We present a prototype of a novel interactive food recommender for groups of users that supports groups in planning their meals through a conversational process based on critiquing.  ...  Food recommender systems tackle this problem by generating personalized meal plans.  ...  APPROACH One of the main considerations related to food recommendations refers to the recurrent nature of eating and food consumption.  ... 
dblp:conf/recsys/ElahiGRMB14 fatcat:ra7pggxlpzevno5tlruic5udcq

Ethics of Food Recommender Applications [article]

Daniel Karpati, Amro Najjar, Diego Agustin Ambrossio
2020 arXiv   pre-print
The recent unprecedented popularity of food recommender applications has raised several issues related to the ethical, societal and legal implications of relying on these applications.  ...  Considering the popular Food Recommender Systems (henceforth F-RS) in the European market cannot be regarded as personalised F-RS, we show how merely this lack of feature shifts the relevance of the focal  ...  ethical desiderata for food-recommender applications that does not build on personally tailored recommendations (F-RS(P-)).  ... 
arXiv:2002.05679v1 fatcat:oar6qwlnejcuxenqcwagyotjqu

A survey of food recommenders [article]

Carl Anderson
2018 arXiv   pre-print
In this survey, we review the food recommender literature.  ...  Consequently, a number of apps, services, and programs have developed recommenders around food.  ...  This is likely a growing area to watch for in food recommendation. One aspect that provides problematic for building food recommenders is the data.  ... 
arXiv:1809.02862v3 fatcat:rutmsytdizddxgqfylsu6bk4jq

Market2Dish: Health-aware Food Recommendation [article]

Wenjie Wang, Ling-yu Duan, Hao Jiang, Peiguang Jing, Xuemeng Song, Liqiang Nie
2020 arXiv   pre-print
the personalized health-aware food recommendation.  ...  For the health-aware food recommendation, we present a novel category-aware hierarchical memory network-based recommender to learn the health-aware user-recipe interactions for better food recommendation  ...  food recommendation.  ... 
arXiv:2012.06416v1 fatcat:unurz64vvje7nbojj6hyu5xhca

WHAT-TO-TASTE: A FOOD RECOMMENDATION SYSTEM

Kashish Ahuja, Mukul Goel, Sunil Sikka, Priyanka Makkar
2020 International Journal of Innovative Research in Computer Science & Technology  
The Food recommendation system recommends by Food profiling, User profiling, and recommending the specific food item as per the last feedback submitted by the users.  ...  "What-To-Taste" is a food recommendation system which can be used by the food chain industry to keep recommending their customers about the cuisine, basically whatever they have in their menu, based on  ...  Following are the advantages of proposed food recommendation system a) The benefit to the customers: The food recommendation system provides the exact and the straight away recommendations about the food  ... 
doi:10.21276/ijircst.2020.8.3.6 fatcat:tfbhvgvpijci3ceinlafvmniw4

Online Food Recommendations: A Complex Problem?

Christoph Trattner
2019 ACM Conference on Recommender Systems  
The problem of recommending food to people has recently become an active field of research.  ...  I will reveal the complex nature of online food choices and how this knowledge can be used to build novel food recommender systems.  ... 
dblp:conf/recsys/Trattner19 fatcat:oq2n5rxgkvbzhmzjuzfntq3kfe

Bringing the "healthy" into Food Recommenders

David Elsweiler, Morgan Harvey, Bernd Ludwig, Alan Said
2015 International Workshop on Decision Making and Recommender Systems  
Food recommender systems have been touted as a potential means to assist people nourish themselves more healthily e.g. [2, 5] .  ...  Discussion In this short position paper we have presented two ways of incorporating healthy nutrition into the food recommendation problem.  ... 
dblp:conf/dmrs/ElsweilerHLS15 fatcat:uikd3bhm2bd5rnua5lfxni56ly

Food Recommendation Using Ontology and Heuristics [chapter]

M. A. El-Dosuky, M. Z. Rashad, T. T. Hamza, A. H. EL-Bassiouny
2012 Communications in Computer and Information Science  
Recommender systems are needed to find food items of one's interest. We review recommender systems and recommendation methods.  ...  We propose a food personalization framework based on adaptive hypermedia. We extend Hermes framework with food recommendation functionality.  ...  Introduction Recommender systems are needed to find food items of one's interest.  ... 
doi:10.1007/978-3-642-35326-0_42 fatcat:2oumcom4ercvvdd4uonw5b5gvu

Food Recommendations: Biases that Underpin Ratings

Shlomo Berkovsky, Jill Freyne
2013 ACM Conference on Recommender Systems  
recommendations.  ...  If deciphered from the observable rating patterns, this contextual facet can be leveraged both in the user modelling and recommendation stages of the personalisation process.  ... 
dblp:conf/recsys/BerkovskyF13 fatcat:f752opxkezheriax4h5v2t5w5e

Semantic Modeling for Food Recommendation Explanations [article]

Ishita Padhiar, Oshani Seneviratne, Shruthi Chari, Daniel Gruen, Deborah L. McGuinness
2021 arXiv   pre-print
We present the Food Explanation Ontology (FEO) that provides a formalism for modeling explanations to users for food-related recommendations.  ...  FEO models food recommendations, using concepts from the explanation domain to create responses to user questions about food recommendations they receive from AI systems such as personalized knowledge  ...  recommending a food item or answering specific questions about a particular recommendation.  ... 
arXiv:2105.01269v1 fatcat:wmpfudjcl5gprk6max2sj7wi6u

Food Recommendations for Reducing Water Footprint

Ignazio Gallo, Nicola Landro, Riccardo La Grassa, Andrea Turconi
2022 Sustainability  
and conscious food recommendations resources of the planet.  ...  Most existing food-related research efforts focus on recipe retrieval, user preference-based food recommendation, kitchen assistance, or nutritional and caloric estimation of dishes, ignoring personalized  ...  friends, relatives, or coworkers, research on group-based food recommender systems has been limited.  ... 
doi:10.3390/su14073833 fatcat:y73thg53kjaj7p76tsfwsdcyl4
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