FRAIPA: A fast recommendation approach with improved prediction accuracy

作者：

Highlights：

• A novel recommendation approach called FRAIPA is proposed.

• The quality of predictions is improved.

• The computation time is shortened.

• The experimentations demonstrate the efficiency of FRAIPA.

摘要

•A novel recommendation approach called FRAIPA is proposed.•The quality of predictions is improved.•The computation time is shortened.•The experimentations demonstrate the efficiency of FRAIPA.

论文关键词：Recommender system,Rating prediction,Computation time,Collaborative filtering

论文评审过程：Received 31 March 2017, Revised 28 May 2017, Accepted 1 June 2017, Available online 6 June 2017, Version of Record 17 July 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.06.001