A Novel Learning Rate Function and Its Application on the SVD++ Recommendation Algorithm
The recommendation algorithm based on Singular Value Decomposition (SVD)++ is a widely used algorithm for its good prediction performance.However, with the rapid increase of data in smart societies, the poor computational performance of the SVD++ recommendation algorithm becomes a prominent disadvantage, for it takes a blackmores ache relief focus