Abstract— QoS Evaluation for Web Service Recommendation. Web service recommendation is one of the most important fields of research in the area of service computing. The two core problems of Web service recommendation are the prediction of unknown QoS property values and the evaluation of overall < Final Year Projects 2016 > QoS according to user preferences. Aiming to address these two problems and their current challenges, we propose two efficient approaches to solve these problems. First, unknown QoS property values were predicted by modeling the high-dimensional QoS data as tensors, by utilizing an important tensor operation, i.e., tensor composition, to predict these QoS values. Our method, which considers all QoS dimensions integrally and uniformly, allows us to predict multi-dimensional QoS values accurately and easily.