Abstract
Quality of Service (QoS) in cloud computing and web service has been commonly used as an essential measure for evaluating services of nonfunctional attributes. However, QoS prediction has become one of the key factors in services recommendation and selection to build high-quality software systems, so it becomes an urgent and crucial research area in both academia and industry. Therefore, several methods and techniques of service recommendation based on collaborative filtering (CF) have been exist for optimizing service selection. We investigate the different exist methods to solve challenging problems. Thence, we discuss and compare these approaches to provide an overview of the latest researches in the field.
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