AI RESEARCH
A Biased Nonnegative Block Term Tensor Decomposition Model for Dynamic QoS Prediction
arXiv CS.LG
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ArXi:2605.04813v1 Announce Type: new With the rapid development of cloud computing and Web services, Quality of Service (QoS) has become a key criterion for service selection and recommendation. Tensor latent feature analysis provides an effective way to model multidimensional QoS data, and most existing QoS prediction methods are mainly based on Canonical Polyadic (CP) decomposition or Tucker decomposition.