A review of movie recommendation system: Limitations, Survey and Challenges

M Goyani, N Chaurasiya - ELCVIA: electronic letters on computer vision …, 2020 - ddd.uab.cat
Recommendation System is a major area which is very popular and useful for people to take
proper decision. It is a method that helps user to find out the information which is beneficial …

Performance evaluation of different machine learning methods and deep-learning based convolutional neural network for health decision making

AK Sahoo, C Pradhan, H Das - Nature inspired computing for data science, 2020 - Springer
Now-a-days modern technology is used for health management and diagnostic strategy in
the health sector. Machine learning usually helps in decision making for health issues using …

DeepReco: deep learning based health recommender system using collaborative filtering

AK Sahoo, C Pradhan, RK Barik, H Dubey - Computation, 2019 - mdpi.com
In today's digital world healthcare is one core area of the medical domain. A healthcare
system is required to analyze a large amount of patient data which helps to derive insights …

A Hybrid Recommendation System: A Review

A Chaudhari, H Alhussian, A Sarlan, R Raut - IEEE Access, 2024 - ieeexplore.ieee.org
Over the years, recommendation engines (REs) have steadily increased in popularity,
providing significant advantages by matching available items to users' specific interests. As …

Improving recommender system via knowledge graph based exploring user preference

H Fan, Y Zhong, G Zeng, C Ge - Applied Intelligence, 2022 - Springer
Abstract Knowledge graph (KG) has proven to improve recommendation performance.
However, most efforts explore inter-entity relatedness by mining multi-hop relations on KG …

Health recommendation system using deep learning-based collaborative filtering

P Chinnasamy, WK Wong, AA Raja, OI Khalaf, A Kiran… - Heliyon, 2023 - cell.com
The crucial aspect of the medical sector is healthcare in today's modern society. To analyze
a massive quantity of medical information, a medical system is necessary to gain additional …

SVD++ recommendation algorithm based on backtracking

S Wang, G Sun, Y Li - Information, 2020 - mdpi.com
Collaborative filtering (CF) has successfully achieved application in personalized
recommendation systems. The singular value decomposition (SVD)++ algorithm is …

A survey on recommender systems using graph neural network

V Anand, AK Maurya - ACM Transactions on Information Systems, 2024 - dl.acm.org
The expansion of the Internet has resulted in a change in the flow of information. With the
vast amount of digital information generated online, it is easy for users to feel overwhelmed …

[HTML][HTML] Recommendation system with minimized transaction data

Y Hwangbo, KJ Lee, B Jeong, KY Park - Data Science and Management, 2021 - Elsevier
This paper deals with the recommendation system in the so-called user-centric payment
environment where users, ie, the payers, can make payments without providing self …

A review of marketing recommendation systems

LY Abed, MM Hamad, AJ Aljaaf - AIP Conference Proceedings, 2023 - pubs.aip.org
Human nature tends to follow certain patterns in comparing the available options, the
recommendation system is one of the secrets of the success of many companies, and this …