Clustering social audiences in business information networks

作者：

Highlights：

• We propose a factorization based clustering algorithm for business Information networks.

• The method performs co-clustering on features and customers simultaneously.

• The method provides a better understanding of functional roles of customers for companies.

• Results on 13 real enterprise datasets demonstrate the effectiveness of our algorithm.

摘要

•We propose a factorization based clustering algorithm for business Information networks.•The method performs co-clustering on features and customers simultaneously.•The method provides a better understanding of functional roles of customers for companies.•Results on 13 real enterprise datasets demonstrate the effectiveness of our algorithm.

论文关键词：Machine learning,Clustering,Business information networks,Social networks

论文评审过程：Received 11 January 2019, Revised 23 October 2019, Accepted 21 November 2019, Available online 28 November 2019, Version of Record 5 December 2019.

论文官网地址：https://doi.org/10.1016/j.patcog.2019.107126