About DECOR

Over the past decade, there has been tremendous growth in research at the intersection of digital food, cooking recipes, and data engineering, as food is central to human life and health. The ability to collect, store, process, and analyze cooking data has advanced significantly, with data science-driven methods transforming food experiences and recommendations. These innovations have successfully analyzed and predicted human cooking expectations, flavor profiles, and taste preferences, enhancing the way we share and enjoy food. Data Engineering stands poised to benefit greatly from this food computing and recipe revolution, but realizing its full potential requires coordinated efforts across disciplines. The 8th International Workshop on Data Engineering Meets Intelligent Food and Cooking Recipes (DECOR@ICDE2025) seeks to accelerate research in this area by offering a platform for cutting-edge innovations at the crossroads of data engineering and intelligent food systems. This workshop focuses on data science advancements that drive the organization, integration, accessibility, and sharing of digital resources within the Intelligent Food and Cooking Recipes domain. This field extends beyond cooking processes to encompass intelligent methods for enhancing human-food interactions—ranging from new technologies and playful engagements to multisensory design, understanding cross-cultural eating habits, and the relationship between food choices and health. Ultimately, this workshop aims to foster innovations that encourage both creative human-food experiences and health-conscious eating decisions.

 for information on previous editions of DECOR, please visit: DECOR2024; DECOR2023; DECOR2022; DECOR2021; DECOR2020; DECOR2019; DECOR2018

Topics of Interest

• Foundation and Technologies for Intelligent Food and Cooking Recipes
• Data Integration in AI-Powered Smart Kitchens
• Advanced Food Sensing Technologies
• Data-Driven Flavor Profiling & Intelligent Ingredient Suggestions
• Recipe Data Ecosystems 2.0
• Dynamic Recipe Personalization in Real-Time
• Data Analytics in Recipe Computing
• Predictive Recipe Performance Analytics
• AI for Ingredient Sourcing and Sustainable Cost Optimization
• Nutritional Insights through Deep Learning
• AI-Driven Taste & Flavor Profiling
• AI for Computational Cooking
• Generative AI for Creative Recipe Development
• Multimodal Recipe Understanding with AI
• AI-Enhanced Culinary Creativity Tools
• AI-Driven Kitchen Automation and Robotics
• Augmented Reality (AR) and Virtual Reality (VR) Cooking Assistance
• Collective intelligence for Recipe Computing and Intelligent food systems
• Crowdsourced AI-Enhanced Recipe Creation
• Community-Driven Food Knowledge Bases with AI Moderation
• Collaborative Filtering for Hyper-Personalized Recipe Recommendations
• AI for User-Generated Content and Reviews Moderation