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Temporality in Online Food Recipe Consumption and Production

Authors:

Tomasz Kusmierczyk,

Christoph Trattner,

Kjetil NørvågAuthors Info & Claims

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

Pages 55 - 56

https://doi.org/10.1145/2740908.2742752

Published: 18 May 2015 Publication History

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Abstract

In this paper, we present work-in-progress of a recently started research effort that aims at understanding the hidden temporal dynamics in online food communities. In this context, we have mined and analyzed temporal patterns in terms of recipe production and consumption in a large German community platform. As our preliminary results reveal, there are indeed a range of hidden temporal patterns in terms of food preferences and in particular in consumption and production. We believe that this kind of research can be important for future work in personalized Web-based information access and in particular recommender systems.

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Cited By

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Zhang QElsweiler DTrattner C(2023)Understanding and predicting cross-cultural food preferences with online recipe imagesInformation Processing & Management10.1016/j.ipm.2023.10344360:5(103443)Online publication date: Sep-2023
https://doi.org/10.1016/j.ipm.2023.103443
Jia NChen JWang R(2022)An attention-based convolutional neural network for recipe recommendationExpert Systems with Applications10.1016/j.eswa.2022.116979201(116979)Online publication date: Sep-2022
https://doi.org/10.1016/j.eswa.2022.116979
Wang WDuan LJiang HJing PSong XNie L(2021)Market2Dish: Health-aware Food RecommendationACM Transactions on Multimedia Computing, Communications, and Applications10.1145/341821117:1(1-19)Online publication date: 16-Apr-2021
https://dl.acm.org/doi/10.1145/3418211
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Index Terms

Temporality in Online Food Recipe Consumption and Production
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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Published In

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

May 2015

1602 pages

ISBN:9781450334730

DOI:10.1145/2740908

General Chairs:
Aldo Gangemi
National Research Council, Italy & Paris 13 University-CNRS, France
,
Stefano Leonardi
Sapienza University of Rome, Italy
,
Alessandro Panconesi
Sapienza University of Rome, Italy

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 May 2015

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WWW '15

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IW3C2

WWW '15: 24th International World Wide Web Conference

May 18 - 22, 2015

Florence, Italy

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Zhang QElsweiler DTrattner C(2023)Understanding and predicting cross-cultural food preferences with online recipe imagesInformation Processing & Management10.1016/j.ipm.2023.10344360:5(103443)Online publication date: Sep-2023
https://doi.org/10.1016/j.ipm.2023.103443
Jia NChen JWang R(2022)An attention-based convolutional neural network for recipe recommendationExpert Systems with Applications10.1016/j.eswa.2022.116979201(116979)Online publication date: Sep-2022
https://doi.org/10.1016/j.eswa.2022.116979
Wang WDuan LJiang HJing PSong XNie L(2021)Market2Dish: Health-aware Food RecommendationACM Transactions on Multimedia Computing, Communications, and Applications10.1145/341821117:1(1-19)Online publication date: 16-Apr-2021
https://dl.acm.org/doi/10.1145/3418211
Granheim SLøvhaug ATerragni LTorheim LThurston M(2021)Mapping the digital food environment: A systematic scoping reviewObesity Reviews10.1111/obr.1335623:1Online publication date: 14-Sep-2021
https://doi.org/10.1111/obr.13356
Hauptmann HLeipold NMadenach MWintergerst MLurz MGroh GBöhm MGedrich KKrcmar H(2021)Effects and challenges of using a nutrition assistance system: results of a long-term mixed-method studyUser Modeling and User-Adapted Interaction10.1007/s11257-021-09301-y32:5(923-975)Online publication date: 15-Oct-2021
https://doi.org/10.1007/s11257-021-09301-y
Batan HRadpour DKehlbacher AKlein-Seetharaman JPaul M(2020)Natural vs. Artificially Sweet Tweets: Characterizing Discussions of Non-nutritive Sweeteners on TwitterExplainable AI in Healthcare and Medicine10.1007/978-3-030-53352-6_16(179-185)Online publication date: 3-Nov-2020
https://doi.org/10.1007/978-3-030-53352-6_16
Jiang HWang WLiu MNie LDuan LXu CAmsaleg LHuet BLarson MGravier GHung HNgo CTsang Ooi W(2019)Market2DishProceedings of the 27th ACM International Conference on Multimedia10.1145/3343031.3350594(2188-2190)Online publication date: 15-Oct-2019
https://dl.acm.org/doi/10.1145/3343031.3350594
Rong CLiu ZHuo NSun H(2019)Exploring Chinese Dietary Habits Using Recipes Extracted From WebsitesIEEE Access10.1109/ACCESS.2019.29005047(24354-24361)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2900504
Paul MDredze M(2017)Social Monitoring for Public HealthSynthesis Lectures on Information Concepts, Retrieval, and Services10.2200/S00791ED1V01Y201707ICR0609:5(1-183)Online publication date: 31-Aug-2017
https://doi.org/10.2200/S00791ED1V01Y201707ICR060
Trattner CRokicki MHerder EBielikova MHerder EDesmarais MCena F(2017)On the Relations Between Cooking Interests, Hobbies and Nutritional Values of Online RecipesAdjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization10.1145/3099023.3099072(59-64)Online publication date: 9-Jul-2017
https://dl.acm.org/doi/10.1145/3099023.3099072
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Understanding and Predicting Online Food Recipe Production Patterns

Intelligent food planning: personalized recipe recommendation

An overview of recommender systems in the healthy food domain

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