A differentially private nonnegative matrix factorization for recommender system

Data Sharing via Differentially Private Coupled Matrix Factorization

(2020) Beyza Ermiş et al.   ACM Transactions on Knowledge Discovery from Data

A fusion collaborative filtering method for sparse data in recommender systems

(2020) Chenjiao Feng et al.   INFORMATION SCIENCES

Probabilistic matrix factorization with personalized differential privacy

(2019) Shun Zhang et al.   KNOWLEDGE-BASED SYSTEMS

Jo-DPMF: Differentially private matrix factorization learning through joint optimization

(2018) Feng Zhang et al.   INFORMATION SCIENCES

An efficient manifold regularized sparse non-negative matrix factorization model for large-scale recommender systems on GPUs

(2018) Hao Li et al.   INFORMATION SCIENCES

A non negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model

(2016) Antonio Hernando et al.   KNOWLEDGE-BASED SYSTEMS

An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems

(2014) Xin Luo et al.   IEEE Transactions on Industrial Informatics

An effective privacy preserving algorithm for neighborhood-based collaborative filtering

(2013) Tianqing Zhu et al.   Future Generation Computer Systems-The International Journal of eScience

Privacy-Preserving Collaborative Recommender Systems

(2010) Justin Zhan et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Matrix Factorization Techniques for Recommender Systems

(2009) Yehuda Koren et al.   COMPUTER