Collaborative filtering generates recommendations by exploiting user-item similarities based on rating data, which often contains numerous unrated items. To predict scores for unrated items, matrix ...
Abstract: Simplex-structured matrix factorization (SSMF) is a common task encountered in signal processing and machine learning. Minimum-volume constrained unmixing (MVCU) algorithms are among the ...
Abstract: Unsupervised learning provides efficient analytical tools for data-centric Internet of Things (IoT) applications. nonnegative matrix factorization (NMF) is a fundamental tool in unsupervised ...
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