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 disadva...

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Bibliographic Details
Main Authors: Jiangli Jiao, Xueying Zhang, Fenglian Li, Yan Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8936437/