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Improved FunkSVD Algorithm Based on RMSProp.
- Source :
- Journal of Circuits, Systems & Computers; 2022, Vol. 31 Issue 9, p1-14, 14p
- Publication Year :
- 2022
-
Abstract
- To solve the problem of low accuracy in the traditional FunkSVD recommendation algorithm, an improved FunkSVD algorithm (RM-FS) is proposed. RM-FS is an improvement of the traditional FunkSVD algorithm, using RMSProp, a deep learning optimization algorithm. The RM-FS algorithm can not only solve the problem of reduced accuracy of the traditional FunkSVD algorithm because of iterative oscillations but also alleviate the impact of data sparseness on the accuracy of the algorithm, achieving the effect of improving the accuracy of the traditional algorithm. The experimental results show that the RM-FS algorithm proposed in this paper effectively improves the accuracy of the recommendation algorithm, which is better than the traditional FunkSVD recommendation algorithm and other improved FunkSVD algorithms. [ABSTRACT FROM AUTHOR]
- Subjects :
- ALGORITHMS
DEEP learning
MACHINE learning
MATHEMATICAL optimization
PROBLEM solving
Subjects
Details
- Language :
- English
- ISSN :
- 02181266
- Volume :
- 31
- Issue :
- 9
- Database :
- Complementary Index
- Journal :
- Journal of Circuits, Systems & Computers
- Publication Type :
- Academic Journal
- Accession number :
- 156718632
- Full Text :
- https://doi.org/10.1142/S0218126622501390