CSD: A multi-user similarity metric for community recommendation in online social networks

作者：

Highlights：

• Define a metric CSD to estimate interest similarity degree of users in a community.

• Reveal CSD’s characteristics based on 3460 emulated on a large Facebook dataset.

• Verify the efficacy of CSD for community selection in community recommendation.

摘要

•Define a metric CSD to estimate interest similarity degree of users in a community.•Reveal CSD’s characteristics based on 3460 emulated on a large Facebook dataset.•Verify the efficacy of CSD for community selection in community recommendation.

论文关键词：Online social network,Community similarity degree,Community recommendation,Community selection

论文评审过程：Received 2 April 2015, Revised 3 January 2016, Accepted 4 January 2016, Available online 7 January 2016, Version of Record 6 February 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.01.003