The 3rd International Workshop  "Data Engineering Meets intelligent food and Cooking Recipes"


Click Here >>>>> registration to DECOR 2020

Enjoy the coming DECOR Workshop 2020  !!!!!!!!

Due to recent directives involving COVID-19, the IEEE ICDE 2020 will instead take place virtually on April 20th – 24th, 2020.

Following ICDE conference, DECOR 2020 workshop  will take place virtually on April 20th.  Registration for authors and attendees are anyway needed.

>>>>>>>Preliminary DECOR 2020@ICDE program  20 April 2020

Keynote Speakers

Academia Keynote: Distinguished University Professor and Eminent Scholar Alan R. HEVNER (University of South Florida, USA)

                                                        Alan R. Hevner  Distinguished University Professor and Eminent Scholar Information Systems and Decision Sciences                                    

Academia Keynote:   Professor and endowed Lloyd T. Smith Creativity in Engineering Chair Pascal HITZEL   (Director of the CAIDS, Kansas State University, USA)

The Third Workshop on Data Engineering meets intelligent food and COoking Recipes (DECOR) aims to accelerate research in data science by providing a forum for the latest innovations in the intersection of Data Engineering and Intelligent Food and Cooking Recipes, concerning data and software organization, integration, and sharing.  This workshop is specifically focused on data science innovations that accelerate the integration, access, and sharing of digital objects in support of Intelligent Food and Cooking Recipes domain, which comprises not only the process of cooking, but also includes intelligent methods for enhancing human-food interactions, ranging from devising technology, playful interactions, multisensory experience design, understanding cross-cultural food eating habits and perception, as well as food choices and health connections. Consequently, increasing the ability of influencing food eating habits and choices that promote, simultaneously, healthful eating-decisions and creative new human-food interaction experiences.


The goal of the workshop is to provide concrete contributions in developing model design, technologies and presenting intelligent data management tools supporting Intelligent Food and Cooking Recipes processes. Authors will be encouraged to submit contributions addressing a range of topics in the intersection of Data Sciences and Intelligence Food. In addition to primary investigations applying advanced analytic pipelines to data already stored in repositories, desirable contributions also include the reports of the full set of digital objects that are produced. These digital objects might include original data, software, software pipelines, models, workflows, containers, virtual machines, intermediary data, and metadata strategies.


Topics of Interest Include but not limited to:

 Foundation and Technologies for Intelligent Food and Cooking Recipes

- Data engineering and Design Science in the food domain
- Big Data and cooking recipes

- Cooking and recipe computing
- Nutrition data mining
- Cooking recipe benchmarking
- Data semantic modelling and ontology engineering for food data
- Recipe data management

Data Analytics in Recipe Computing

- Recipe data analytics
- Open cooking linked data analysis
- Food ontology
- Social data analysis for recipe computing
- Eating behavior analysis
- Culture analytics for food recommender system
- Multimedia food data analysis

Machine Learning and Deep Learning for Computational Cooking

- Multi-modal representation learning (Image/text alignment)
- Recommendation systems, benchmarking and performance evaluation
- Classification for food data
Multi-modal retrieval techniques for recipe management

- Content generation for recipe computing

Collective intelligence for Recipe Computing

- Knowledge discovery from recipe computing
- Data visualization for food decision making
- Decision-making in intelligent food system
- Interactions in recipe computing

- Food recommender systems for group
- Data visualization for enhance food sensorial experience

Nutritional Value and Applications for Intelligent Food Systems

- Automated recipe and nutrients conversion
- Nutritional model for the intelligent food system
- Healthy eating models
- Health-aware food recommender systems
- Personalization and health model

To be included in the IEEE Xplore Library, accepted papers must be registered and presented.

Submission Guidelines

The proceedings of the workshop will be published jointly with the ICDE conference proceedings and all papers must be prepared in the IEEE format.

All papers must be original and not simultaneously submitted to another journal or conference. Authors are invited to submit long papers (6 pages), or  short papers (4 pages), or demonstrations (4 pages).  Students are also invited to submit long papers and short papers in the special enlightening student session. All products for review must be submitted through EasyChair using the link

 Important Dates

January 7, 2020 (extended to January 20, 2020)

Full Paper, demo, short paper Submissions due

January 15, 2020 (February 10, 2020)

Acceptance Notification

February 3, 2020 (February 17, 2020)

Revision Submission due

February 13, 2020  (February 20, 2020)

Final Notification

February 28, 2020

Camera-ready papers due

April 20, 2020

Workshop date (tentative date)

Workshop co-chairs

  • F. Andres, National Institute of Informatics, JP
  • G. Ghinea, Brunel University, UK
  • W. Grosky, University of  Michigan-Dearborn, US
  • M. Leite, University of South  Florida  St.Petersburg, US

Publicity co-Chairs

  • X. Dai, The University of North Carolina, Chapel Hill, US
  • N. Ranasighe, Univ. of Maine, US

Steering Committee:

  • Hevner, Alan. U. of Sth Fl, US
  • Ioannidis, Y. U of Athens, GR
  • Kapetanios, E. University of W, UK
  • Kitagawa, Takuya. Rakuten,
  • Levy, P. A. U. of Ottawa, CA
  • Nuessli Guth, J. ETH Zürich, CH
  • Yamakata, Y. The U. of Tokyo, JP
  • Zhang, A., State U. of  NY Buf., US

Program commitee

  • R. Agrawal, ERDC, US
  • C. Anutariya, AIT, TH
  • Y. Asano, Kyoto U, JP
  • M. Bhardwaj, Halliburton, US
  • S. Bhattacharya, FSU, US
  • M. Dolejsova, J. Ev. Purk. U. CZC
  • X. Dai, The University of North Carolina, Chapel Hill, US
  • K. Doman, Chukyo Univ., JP
  • L. D’Orazio, IRISA, FR
  • F. Fotouhi, WSU, US
  • N. Holden, UCD, IR
  • I. Ide, Nagoya U, JP
  • M. Jaglan NIT Hamirpur, IN 
  • D. Jannach, Tech. U. of Dort, DE
  • R. Kannan, HBC, IN
  • A. A. Krisnadhi, U. Indonesia, IDN
  • N. Kumar, Rama U, IN
  • D.L. Lee, HKUST, HK
  • Y-K Ng, Brigham Young U., US
  • A. Nijholt, U. of Twente, NL
  • F. Ofli, QCRI, QA
  • E. Ogasawara, CEFET/RJ, BR
  • H. Pendharkar,  U Sth Fl St.Pbg, US
  • O. Salviano, PUC, Campinas, BR
  • C. A. S. Santos, UFES, BR
  • F. Sedes, IRIT, Toulouse, FR
  • H. Om Sharan, Rama U, IN
  • C. Shimizu, Kansas State U., USA
  • I. Weber, QCR Institute, QA
  • K. Yanai, UEC, JP
  • A. Ziviani, LNCC, BR