Predicting semantic preferences in a socio-semantic system with collaborative filtering: A case study

作者：

Highlights：

• Addressing links prediction challenge in Socio-Semantic System.

• Collaborative filtering algorithms constitute relevant models to predict semantic preferences.

• Similarity model predicts semantic links preferences.

• Small increase of accuracy with social network signals.

摘要

•Addressing links prediction challenge in Socio-Semantic System.•Collaborative filtering algorithms constitute relevant models to predict semantic preferences.•Similarity model predicts semantic links preferences.•Small increase of accuracy with social network signals.

论文关键词：Collaborative filtering,Socio-semantic system,Links prediction,Semantic preferences,Social networks,Semantic networks

论文评审过程：Received 21 January 2019, Revised 17 September 2019, Accepted 3 October 2019, Available online 22 November 2019, Version of Record 24 February 2020.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2019.10.005