In the present scenario, building the best quality cloud computing applications that fulfill demand services of customers is the toughest challenge for researchers. The services which perform the non-functional activities are considered as Quality of Service (QoS). Many sectors offer various cloud services such as Amazon, HP, and IBM to the customers. No technique is available to measure the real-world usage accurately and provide the efficient results for ranking the cloud services. Therefore, it is a very hard job for the client to select the optimal cloud service provider (CSP), which fulfills all the requirements of the customers. To avoid the conflict for selecting the right CSP, this paper proposes a novel QoS ranking prediction method called BOOST. Various experiments are done on the real-world QoS data by using EC2 services of Amazon. The results reveal that the proposed BOOST provides more efficient results than the competitor approaches.