Transforming collaborative filtering into supervised learning

作者：

Highlights：

• We propose an transformation from CF problem to typical supervised learning.

• The proposed transformation is straightforward and domain-independent.

• Our transformation greatly outperforms classical collaborative filtering techniques.

摘要

•We propose an transformation from CF problem to typical supervised learning.•The proposed transformation is straightforward and domain-independent.•Our transformation greatly outperforms classical collaborative filtering techniques.

论文关键词：Recommender system,Collaborative filtering,Dimensionality reduction,Supervised learning

论文评审过程：Available online 17 January 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.01.023