Exploring the impact of hybrid recommender systems on personalized mental health recommendations
Personalized mental health recommendations are crucial in addressing the diverse needs and preferences of individuals seeking mental health support. This research aims to study the investigates the impact of hybrid recommender systems on the provision of personalized recommendations for mental healt...
Saved in:
Main Authors: | Mazlan, Idayati, Abdullah, Noraswaliza, Ahmad, Norashikin |
---|---|
Format: | Article |
Language: | English |
Published: |
Science and Information Organization
2023
|
Online Access: | http://eprints.utem.edu.my/id/eprint/27275/2/0018229122023629.PDF http://eprints.utem.edu.my/id/eprint/27275/ https://thesai.org/Downloads/Volume14No6/Paper_99-Exploring_the_Impact_of_Hybrid_Recommender_Systems.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A collaborative filtering recommender system model for recommending intervention to improve elderly well-being
by: Azmi, Aini Khairani, et al.
Published: (2019) -
Using trust-based recommender systems for personalized health content
by: Koochi, Morteza Rashidi, et al.
Published: (2013) -
HYPNER a framework for hybrid personalized news recommender systems
by: Darvishy, Asghar, et al.
Published: (2014) -
Goal-based hybrid filtering for user-to-user personalized recommendation
by: Chughtai, Muhammad Waseem, et al.
Published: (2013) -
The COVID-19 pandemic and mental health in Malaysia: Current treatment and future recommendations
by: Amoneeta Beckstein, et al.
Published: (2021)