Sri Lankan Food dataset

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.

本数据集为精心甄选整理的食品推荐数据集，旨在为推荐系统（Recommender Systems）、个性化营养（Personalised Nutrition）以及基于人工智能的决策相关研究提供支撑。该数据集整合了食品元数据（Food Metadata）、营养属性（Nutritional Attributes）、用户偏好画像（User Preference Profiles）以及用户-食品交互信号（User-Food Interaction Signals），可用于开发并评估基于内容、协同过滤以及监督式机器学习的各类推荐模型。本数据集适用于学术研究、原型系统开发以及混合推荐方法（Hybrid Recommendation Approaches）的基准测试工作。