A Probability Distribution and Location-aware ResNet Approach for QoS Prediction

Abstract

In recent years, the number of online services has grown rapidly, invoke the required services through the cloud platform has become the primary trend.How to help users choose and recommend high-quality services among huge amounts of unused services has become a hot issue in research. Among the existing QoS prediction methods, the collaborative filtering(CF) method can only learn low-dimensional linear characteristics, and its effect is limited by sparse data. Although existing deep learning methods could capture high-dimensional nonlinear features better, most of them only use the single feature of identity,