2 papers
cs.LG2018
Magnitude Bounded Matrix Factorisation for Recommender Systems
Shuai Jiang, Kan Li, Richard Yi Da Xu
Low rank matrix factorisation is often used in recommender systems as a way of extracting latent features. When dealing with large and sparse datasets, traditional recommendation a…
cs.LG2018
Relative Pairwise Relationship Constrained Non-negative Matrix Factorisation
Shuai Jiang, Kan Li, Richard Yida Xu
Non-negative Matrix Factorisation (NMF) has been extensively used in machine learning and data analytics applications. Most existing variations of NMF only consider how each row/co…