Recommendation in feature space sphere

作者：

Highlights：

• We propose a recommendation in feature space sphere (RFSS).

• It takes into account the relationship between users and items in feature space.

• Complexity and convergence analysis is conducted.

• Extensive experiments have been conducted to show the effectiveness.

摘要

•We propose a recommendation in feature space sphere (RFSS).•It takes into account the relationship between users and items in feature space.•Complexity and convergence analysis is conducted.•Extensive experiments have been conducted to show the effectiveness.

论文关键词：Recommendation algorithms,Matrix factorization,Feature space

论文评审过程：Received 2 July 2017, Revised 21 September 2017, Accepted 27 October 2017, Available online 28 October 2017, Version of Record 31 October 2017.

论文官网地址：https://doi.org/10.1016/j.elerap.2017.10.007