Recommender System, Personalized Health, Fitness Plans, Health Informatics, Collaborative Filtering, Content-Based Filtering, User Preferences, Health Behavior.
Abstract
Our research presents a novel "Recommender System for Personalized Health and Fitness Plans," aimed at enhancing individual well-being. Leveraging principles from recommendation systems and health informatics, our system provides tailored recommendations for diet, exercise, medication, and other healthcare services. Through extensive literature review and empirical analysis, we explore methodologies like collaborative filtering and content-based filtering to generate accurate recommendations. Findings reveal insights into user preferences and system limitations, contributing to personalized healthcare interventions and healthier lifestyles.
Article Details
Unique Paper ID: 163900
Publication Volume & Issue: Volume 10, Issue 11
Page(s): 2240 - 2253
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