We present a ranking-oriented prediction method intended to assist in discovering cloud service candidates with highest customer satisfaction. Our proposed approach encompasses both ranking similarity estimation and cloud service ranking prediction, considering customer preferences and expectations. A customer satisfaction function is presented to determine preference values regarding pairs of services. We show that the proposed method outperforms other competing methods.