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Food Recommender Systems: Important Contributions, Challenges and Future Research Directions
The recommendation of food items is important for many reasons. Attaining
cooking inspiration via digital sources is becoming evermore popular; as are
systems, which recommend other types of food, such as meals in restaurants or
products in supermarkets. Researchers have been studying these kinds of systems
for many years, suggesting not only that can they be a means to help people
find food they might want to eat, but also help them nourish themselves more
healthily. This paper provides a summary of the 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 or systems which promote healthy
eating. 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 questions for the field. In
providing these contributions we hope to provide a useful resource for
researchers and practitioners alike