Web service reliability prediction has become a research hotspot in the field of service computing. To enhance the performance of the existing Web service reliability prediction methods, two prediction methods are proposed. Firstly, for the Web services reliability prediction method based on collaborative filtering, we improve the calculation of users similarity, services similarity, and prediction values. Secondly, we integrate kmeans clustering algorithm and Slope One algorithm to do Web service reliability prediction. Experimental results show that the proposed method has higher prediction accuracy than the existing methods.

 

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