Sri Lankan Food dataset

Read full text
Authors: Sandaru Chandupa, Viraj Lakshitha Bandara
Cited by: 0

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