Open AccessOntology-Based Diet Recommendation System
Author(s) -
S Shridevi,
K. Archana
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c5194.098319
Subject(s) - ontology , personalization , computer science , recommender system , process (computing) , selection (genetic algorithm) , information retrieval , world wide web , artificial intelligence , philosophy , epistemology , operating system
Recommender systems are needed to find food items of one’s interest. We propose a food personalization framework that assists the user with the actual diet selection process. The Ontology-based process, recommend an appropriate diet for the user. The system analyses the user’s queries based on their requirements and recommends diet, based on their diseases and deficiencies. The system is tested for its efficiency in terms of query processing for users nutrient requirements.