Multi-linear interactive matrix factorization

作者：

Highlights：

• A multi-linear interactive matrix factorization algorithm is introduced.

• The interactions between users and factors are empirically analyzed.

• Results show interactive factors significantly enhance recommendation performance.

摘要

•A multi-linear interactive matrix factorization algorithm is introduced.•The interactions between users and factors are empirically analyzed.•Results show interactive factors significantly enhance recommendation performance.

论文关键词：Recommender systems,Collaborative filtering,Matrix factorization,Latent factor model,Time-aware recommendation

论文评审过程：Received 7 April 2014, Revised 2 April 2015, Accepted 16 May 2015, Available online 23 May 2015, Version of Record 16 July 2015.

论文官网地址：https://doi.org/10.1016/j.knosys.2015.05.016