Sri Lankan Food dataset
Abstract
This dataset is a curated food recommendation dataset designed to support research in recommender systems, personalised nutrition, and AI-based decision-making. The dataset integrates food metadata, nutritional attributes, user preference profiles, and user–food interaction signals to enable the development and evaluation of content-based, collaborative, and supervised machine learning models. The dataset is suitable for academic research, prototype system development, and benchmarking of hybrid recommendation approaches.
Fields of Study & Subjects
Recommender Systems and Techniques
Innovation in Digital Healthcare Systems
Nutrition
Health and Food Behavior
Publication details
- Journal / source
- Harvard Dataverse
- Publication date
- 24 January 2026
- Document type
- Dataset