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 …
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 …
Over the years, recommendation engines (REs) have steadily increased in popularity, providing significant advantages by matching available items to users' specific interests. As …
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 …
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 …
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 …
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 …
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 …
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 …