Improving performances of Top-N recommendations with co-clustering method

作者：

Highlights：

• A new parameter-free and scalable method to co-cluster users and items is proposed.

• The User-Item Community Detection based Recommendation (UICDR) method helps to improve the performances of Top-N recommendations.

• The recommendation method is helpful to cold-start problem.

摘要

•A new parameter-free and scalable method to co-cluster users and items is proposed.•The User-Item Community Detection based Recommendation (UICDR) method helps to improve the performances of Top-N recommendations.•The recommendation method is helpful to cold-start problem.

论文关键词：Collaborative filtering,Co-clustering method,Bipartite networks,Top-N recommendations

论文评审过程：Received 20 April 2019, Revised 15 October 2019, Accepted 6 November 2019, Available online 15 November 2019, Version of Record 21 November 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113078