PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for Recommender Systems.

Peihua Mai Yan Pang

Published in: CoRR (2022)

Keyphrases

multi view
privacy preserving
matrix factorization
recommender systems
collaborative filtering
low rank
multiple views
data sparsity
d objects
user preferences
semi supervised
three dimensional
negative matrix factorization
implicit feedback
factorization method
probabilistic matrix factorization
missing data