2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2023
GPU accelerated matrix factorization of large scale data using block based approach
Prasad Bhavana, Vineet Padmanabhan
Matrix Factorization (MF) on large scale data takes substantial time on a Central Processing Unit (CPU). While Graphical Processing Unit (GPU)s could expedite the computation of MF…
cs.LG2019★ 2 cited
Block based Singular Value Decomposition approach to matrix factorization for recommender systems
Prasad Bhavana, Vikas Kumar, Vineet Padmanabhan
With the abundance of data in recent years, interesting challenges are posed in the area of recommender systems. Producing high quality recommendations with scalability and perform…
cs.LG2019★ 1 cited
BMF: Block matrix approach to factorization of large scale data
Prasad G Bhavana, Vineet C Nair
Matrix Factorization (MF) on large scale matrices is computationally as well as memory intensive task. Alternative convergence techniques are needed when the size of the input matr…