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cs.LG2018★ 1 cited
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★ 7 cited
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…