INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
People make decisions related to food every day. They all think about what to eat, where to eat, how much nutritional value this food has, can this make me lose weight, can this food make me healthy and other questions. Recommendation systems help the user to make fast decisions in these complex information spaces. These systems include informative content and services, which persuade users to alter their behavior. This recommender could exploit the nutritional values of the food to inform its recommendations
Keywords:
K- Nearest Neighbor, Internet of medical things, Random Forest, Decision Tree.
Cite Article:
"Personal Nutritionist Recommendation Using Ensemble Machine Learning Techniques", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.2233 - 2235, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304347.pdf
Downloads:
000337067
Publication Details:
Published Paper ID: IJSDR2304347
Registration ID:205603
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 2233 - 2235
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
Facebook Twitter Instagram LinkedIn