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Generating Personalized Recipes from Historical User Preferences

Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley
2019 Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)  
We propose a new task of personalized recipe generation to help these users: expanding a name and incomplete ingredient details into complete naturaltext instructions aligned with the user's historical  ...  Existing approaches to recipe generation are unable to create recipes for users with culinary preferences but incomplete knowledge of ingredients in specific dishes.  ...  We explore a new task of generating plausible and personalized recipes from incomplete input specifications by leveraging historical user preferences; 1 2.  ... 
doi:10.18653/v1/d19-1613 dblp:conf/emnlp/MajumderLNM19 fatcat:pyb4qcndwfdubjjwqqhoivwciq

Generating Personalized Recipes from Historical User Preferences [article]

Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley
2019 arXiv   pre-print
We propose a new task of personalized recipe generation to help these users: expanding a name and incomplete ingredient details into complete natural-text instructions aligned with the user's historical  ...  Existing approaches to recipe generation are unable to create recipes for users with culinary preferences but incomplete knowledge of ingredients in specific dishes.  ...  We explore a new task of generating plausible and personalized recipes from incomplete input specifications by leveraging historical user preferences; 1 2.  ... 
arXiv:1909.00105v1 fatcat:rtstm7t67vhhhgiwgdcm73nfci

Food Recommendation: Framework, Existing Solutions and Challenges [article]

Weiqing Min, Shuqiang Jiang, Ramesh Jain
2019 arXiv   pre-print
This article proposes a unified framework for food recommendation, and identifies main issues affecting food recommendation including building the personal model, analyzing unique food characteristics,  ...  This detailed description is effective, and thus we can learn users' food preference based on these historical records.  ...  Personal Model Construction Personal model construction involves collecting and fusing relevant information of users to generate a user model for food recommendation.  ... 
arXiv:1905.06269v2 fatcat:epzmc5efqneqboyesqoqs7tmni

Do recommender systems function in the health domain: a system review [article]

Jia Su, Yi Guan, Yuge Li, Weile Chen, He Lv, Yageng Yan
2020 arXiv   pre-print
Funding This research was financially supported by the Open Research Fund from Shenzhen Research Institute of Big Data, under Grant No.2019ORF01011 Role of the funding source The funding source has  ...  , which is derived from user-generated suggestions for modifications.  ...  Additionally, type-2 fuzzy-based personal profile ontology (data from by personal profiles), food ontology (data from by nutrition facts of foods), and personal food ontology (data from acquired diet goal  ... 
arXiv:2007.13058v1 fatcat:4ku6jhiqjrhk7ksjqrj7wvlnju

Market2Dish: Health-aware Food Recommendation [article]

Wenjie Wang, Ling-yu Duan, Hao Jiang, Peiguang Jing, Xuemeng Song, Liqiang Nie
2020 arXiv   pre-print
In particular, recipe retrieval aims to acquire the ingredients available to the users, and then retrieve recipe candidates from a large-scale recipe dataset.  ...  However, most existing food-related research efforts focus on recipe retrieval, user preference-based food recommendation, cooking assistance, or the nutrition and calorie estimation of dishes, ignoring  ...  However, all these strategies focus on recommending recipes based on the historical records of users to satisfy their preferences.  ... 
arXiv:2012.06416v1 fatcat:unurz64vvje7nbojj6hyu5xhca

Hierarchical Attention Network for Visually-aware Food Recommendation [article]

Xiaoyan Gao, Fuli Feng, Xiangnan He, Heyan Huang, Xinyu Guan, Chong Feng, Zhaoyan Ming, Tat-Seng Chua
2019 arXiv   pre-print
tend to eat; 2) inferring a user's preference at the ingredient level; and 3) learning user preference from the recipe's visual images.  ...  Deciding what food to eat is a complex and multi-faceted process, which is influenced by many factors such as the ingredients, appearance of the recipe, the user's personal preference on food, and various  ...  Collaborative filtering approaches focus on mining users' preference over recipes purely from userrecipe interactions with general CF algorithms.  ... 
arXiv:1810.05032v3 fatcat:pqx55ifh4jhwnmljq22wqtt6my

Sharing Memories of Smart Products and their Consumers in Instrumented Environments (Austausch digitaler Gedächtnisse von Produkten und Konsumenten in instrumentierten Umgebungen)

Wolfgang Wahlster, Alexander Kröner, Michael Schneider, Jörg Baus
2008 it - Information Technology  
Here, we devote special attention to applications originating from the sharing of data gathered this way between users and systems.  ...  knowledge about objects as well as situational observations and historical data.  ...  An analysis of the user's social network enables a personal assistant to suggest a recipe matching the guests' food preferences.  ... 
doi:10.1524/itit.2008.0460 fatcat:oojhsxwk2jbihh6dqixd5e37fi

Food Recommender Systems: Important Contributions, Challenges and Future Research Directions [article]

Christoph Trattner, David Elsweiler
2017 arXiv   pre-print
We moreover discuss the diverse challenges involved in designing recsys for food, summarise the lessons learned from past research and outline what we believe to be important future directions and open  ...  state-of-the-art of so-called food recommender systems, highlighting both seminal and most recent approaches to the problem, as well as important specializations, such as food recommendation systems for groups of users  ...  User preference sources.  ... 
arXiv:1711.02760v2 fatcat:3o6oyahtfbecho5whl6zoy7n4a

A food recommender for patients in a care facility

Toon De Pessemier, Simon Dooms, Luc Martens
2013 Proceedings of the 7th ACM conference on Recommender systems - RecSys '13  
Since many of these patients cannot express their personal preferences, a recommender system can assist the caregivers in the selection of the menu items that match the patients' preferences.  ...  preferences for the ingredients of the menu items.  ...  In the context of recipe recommendations, two strategies to generate group recommendations have been compared: a strategy that aggregates the individual user preferences into a model representing the group  ... 
doi:10.1145/2507157.2507198 dblp:conf/recsys/PessemierDM13a fatcat:kpz3le3ig5d3fgi35xtpp7xf6y

Black/White dating online: Interracial courtship in the 21st century

Gerald A. Mendelsohn, Lindsay Shaw Taylor, Andrew T. Fiore, Coye Cheshire
2014 Psychology of Popular Media Culture  
We analyzed personal profiles and records of communication for more than a million nationwide users of a major online dating site.  ...  White more than Black, women more than men, and old more than young users stated a preference for a same-race partner.  ...  Black users, in fact, were as a group more likely to reciprocate a message from a White person than from a Black person, though this overall effect was due to the males.  ... 
doi:10.1037/a0035357 fatcat:rc2bt2yh4vhonlow2iayox34ay

Nudging Healthy Choices in Food Search Through Visual Attractiveness

Alain D Starke, Martijn C Willemsen, Christoph Trattner
2021 Frontiers in Artificial Intelligence  
After modelling the visual attractiveness of recipe images, we asked 239 users to search for specific online recipes and to select those they liked the most.  ...  Our analyses revealed that users tended to choose a healthier recipe if a visually attractive image was depicted alongside it, as well as if it was listed at the top of a list of search results.  ...  In other words, historical user preferences are unlikely to lead to healthy recommendations.  ... 
doi:10.3389/frai.2021.621743 pmid:33969288 pmcid:PMC8102049 fatcat:fhjyh427ovaknmmm4fzymmphce

Empowering cultural heritage professionals with tools for authoring and deploying personalised visitor experiences

Elena Not, Daniela Petrelli
2019 User modeling and user-adapted interaction  
It is based on a novel flexible formalism that represents the content and the context as independent from one another and allows recombining them in multiple ways thus generating many different interactions  ...  from the same elements.  ...  Acknowledgements The research described here was part of a shared effort carried out in meSch, Material Encounters with Digital Cultural Heritage. meSch (2013)(2014)(2015)(2016)(2017) received funding from  ... 
doi:10.1007/s11257-019-09224-9 fatcat:wpvjcwkkfbewzowyqhwtruesym

PhytoCloud: A Gamified Mobile Web Application to Modulate Diet and Physical Activity of Women with Breast Cancer

Daphne Economou, Miriam Dwek, Claire Roberston, Bradley Elliott, Thanos Kounenis, Tayebeh Azimi, Mohammad Ramezanian, Nathan Bell
2017 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)  
The paper presents a user centered approach of developing a Mobile Web App that focuses on breast cancer patients looking at their specific dietary, physical and mental requirements depending on the stage  ...  The design of "PhytoCloud" is being described, a gamified Mobile Web App that enables users to record their dietary habits and physical activity and motivate their consumption of food with oestrogen-like  ...  The project has been sponsored by the University of Westminster Strategic Development Fund 2015/16 and the generous donations from the University's Alumni.  ... 
doi:10.1109/cbms.2017.164 dblp:conf/cbms/EconomouDREKARB17 fatcat:bc5kds2xwvaapnwzjezlbk2rry

User assistance for collaborative knowledge construction

Pierre-Antoine Champin, Amélie Cordier, Elise Lavoué, Marie Lefevre, Hala Skaf-Molli
2012 Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion  
interactions between users.  ...  In this paper, we study tools for providing assistance to users in distributed spaces.  ...  Charles wishes to augment his own wiki with recipes from David's (see Fig-Figure 4 : Personal fusion ure 4).  ... 
doi:10.1145/2187980.2188243 dblp:conf/www/ChampinCLLS12 fatcat:ncemlc3asfgwvddkpv6djztoza

Towards Multi-Language Recipe Personalisation and Recommendation [article]

Mikhail Fain, Andrey Ponikar, Nadine Sarraf, Niall Twomey
2020 arXiv   pre-print
Our work draws on several billion events from millions of recipes and users from Arabic, English, Indonesian, Russian, and Spanish.  ...  For users without interaction histories, a bespoke content-based cold-start model that predicts context and recipe affinity is introduced.  ...  The formative works in recipe recommendation [11, 12] constructed user-based ingredient preferences from historic recipe interactions and represented recipes by their ingredients.  ... 
arXiv:2007.13440v1 fatcat:7oolekuhyjf5hhfrptxlmpqinm
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