Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM40906
Volume:
9 |
1 |
Jan 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Our digital lives in the modern world are fueled by data. We use recommendation engines to help us choose which goods, services, and information to purchase, and they have become an integral part of our digital life. This paper has covered a lot of ground on the changing field of deep learning-based recommendation systems. The evaluation of recommendation systems, individualized recommendation methods, and the integration of several data sources are the primary areas of study. The ethical and privacy issues surrounding recommendation systems are also covered. A critical evaluation of the state of recommendation systems today has been provided in order to provide insightful information for future developments in this field.
KEYWORDS
Publication Date
1/19/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
2
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...