Topics of interest include but are not limited to:Foundation and Technologies for Intelligent Food and Cooking Recipe- 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 managementData 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 analysisMachine Learning and Deep Learning for Computational Cooking- Multimodal representation learning (Image/text alignment)- Recommendation systems, benchmarking and performance evaluation- Classification for food data- Recipe or cross-modal retrieval- Content generation for recipe computingDesign Science Research in Cooking and Nutrition Science- Design processes- Building and evaluating cooking artifacts (recipes, recommender systems, ontologies)- Measuring creativity and qualities of designs- Impacts of new nutrition designs- Designing socio-technical systems to improve nutrition and healthy life stylesCollective 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 system for groupNutritional 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