BNBT combines block term tensor decomposition with linear bias terms and a new nonnegative update algorithm to outperform prior methods on real QoS datasets.
Improved symmetric and nonnegative matrix factorization models for undirected, sparse and large-scaled networks: A triple factorization-based approach
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A Biased Nonnegative Block Term Tensor Decomposition Model for Dynamic QoS Prediction
BNBT combines block term tensor decomposition with linear bias terms and a new nonnegative update algorithm to outperform prior methods on real QoS datasets.