An autoencoder-based deep learning model for solving the sparsity issues of Multi-Criteria Recommender System

IS Rajput, AS Tewari, AK Tiwari - Procedia Computer Science, 2024 - Elsevier
In recent times, recommender systems have acquired significant popularity as a solution to
the issue of information overload. These systems offer personalised recommendations to …

Food Recommender System in Sub-Saharan Africa: Challenges and Prospects

ES Pagou, VC Kamla, I Tchappi, J Ngathic… - … Conference on Safe …, 2023 - Springer
Nutrition is one of the most important lifestyle components that can be altered, therefore
even minor changes or bad food choices can have a huge impact on health. Food …

Comparative Analysis of Memory-Based Collaborative Filtering and Deep Learning Models for Resolving Cold Start and Data Sparsity Issues in E-commerce …

AM Shetty, DH Manjaiah, MF Aljunid… - 2024 IEEE 3rd World …, 2024 - ieeexplore.ieee.org
In today's digital landscape, where online activities and e-commerce play pivotal roles,
Recommender Systems (RS) have become indispensable tools for enhancing user …

An Integrated Framework for Contextual Personalized LLM-Based Food Recommendation

A Rostami - 2024 - escholarship.org
Personalized Food Recommendation Systems (Food-RecSys) are recognized for their
potential to enhance dietary practices and address pressing health issues. Despite their …

[PDF][PDF] A Recommendation System for University Discussion Committees

Z Mundher, MT Ahmad - Sistemasi: Jurnal Sistem Informasi, 2024 - sistemasi.ftik.unisi.ac.id
One of the topics that have emerged and gained popularity in recent years, due to the
extensive availability of data, is recommendation systems. The concept of recommendation …

Design And Development Of Decision Support System To Recommend Nutritious Food For Cardiovascular Patients

NP Mehta, H Thaker - 2024 - library.atmiya.net
Cardiovascular diseases (CVDs) are among the leading causes of mortality worldwide, and
their prevalence is rapidly increasing in the Gujarat region of India. A major factor in …

Knowledge Based Health Nutrition Recommendations for During Menstrual Cycle

E Logapriya, R Surendran - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Every woman experiences menstruation naturally, which occurs once a month. There is a
risk that a woman will experience a menstrual period if her body undergoes any changes …