A novel robust recommendation method based on kernel matrix factorization

A fuzzy model for managing natural noise in recommender systems

(2016) Raciel Yera et al.   APPLIED SOFT COMPUTING

Robust collaborative recommendation algorithm based on kernel function and Welsch reweighted M-estimator

(2015) Fuzhi Zhang et al.   IET Information Security

Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments

(2015) Wentao Ma et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Correcting noisy ratings in collaborative recommender systems

(2015) Raciel Yera Toledo et al.   KNOWLEDGE-BASED SYSTEMS

Shilling attacks against recommender systems: a comprehensive survey

(2012) Ihsan Gunes et al.   ARTIFICIAL INTELLIGENCE REVIEW

Kernel-Mapping Recommender system algorithms

(2012) Mustansar Ali Ghazanfar et al.   INFORMATION SCIENCES

An unsupervised approach to learn the kernel functions: from global influence to local similarity

(2010) M. Ehsan Abbasnejad et al.   NEURAL COMPUTING & APPLICATIONS

Factor in the neighbors

(2010) Yehuda Koren   ACM Transactions on Knowledge Discovery from Data

Matrix Factorization Techniques for Recommender Systems

(2009) Yehuda Koren et al.   COMPUTER