A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction
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DOI: 10.1109/tsc.2019.2961895
Abstract: Neighborhood regularization is highly important for a latent factor (LF)-based Quality-of-Service (QoS)-predictor since similar users usually experience similar QoS when invoking similar services. Current neighborhood-regularized LF models rely prior information on neighborhood obtained from common… read more here.
Keywords: mml; service; qos; neighborhood regularized ... See more keywords