📅 17 March 2024
DOI: 10.62951/ijamc.v1i1.2
Efficient Parallel Algorithms for LargeScale Matrix Factorization in Collaborative Filtering Systems
International Journal of Applied Mathematics and Computing
Asosiasi Riset Ilmu Matematika dan Sains Indonesia (ARIMSI)
📄 Abstract
Collaborative filtering systems rely heavily on matrix factorization techniques, which often face scalability issues when handling large datasets. This paper presents an efficient parallel algorithm that leverages distributed computing to perform largescale matrix factorization. Experimental results show that our algorithm significantly reduces computation time while maintaining high accuracy. The approach has practical implications for recommendation systems, particularly in ecommerce and social media platforms.
🔖 Keywords
#Parallel algorithms; matrix factorization; collaborative filtering
#distributed computing
#recommendation systems.
ℹ️ Informasi Publikasi
Tanggal Publikasi
17 March 2024
Volume / Nomor / Tahun
Volume 1, Nomor 1, Tahun 2024
📝 HOW TO CITE
Novi Siti Juariah; Rizky Pratama .H; Melda Ayu Nengsi, "Efficient Parallel Algorithms for LargeScale Matrix Factorization in Collaborative Filtering Systems," International Journal of Applied Mathematics and Computing, vol. 1, no. 1, Mar. 2024.
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