MealRec: A Meal Recommendation Dataset

Understand

Bundle recommendation systems aim to recommend a bundle of items for a user to consider as a whole.

• They have become a norm in modern life and have been applied to many real-world settings, such as product bundle recommendation, music playlist recommendation and travel package recommendation.
• However, compared to studies of bundle recommendation approaches in areas such as online shopping and digital music services, research on meal recommendations for restaurants in the hospitality industry has made limited progress, due largely to the lack of high-quality benchmark datasets.
• A publicly available dataset specialising in meal recommendation research for the research community is in urgent demand.