Relational social recommendation: Application to the academic domain

作者：

Highlights：

• Relational social recommendation provides highly detailed explanations to users.

• Users find these explanations to be intriguing and often surprising.

• Linking people based on entity associations reveals novel connections of interest.

• Recommendation relevance and serendipity may be improved given user feedbacks.

摘要

•Relational social recommendation provides highly detailed explanations to users.•Users find these explanations to be intriguing and often surprising.•Linking people based on entity associations reveals novel connections of interest.•Recommendation relevance and serendipity may be improved given user feedbacks.

论文关键词：Graph-based recommendation,Social recommendation,Recommendation explainability,Information extraction

论文评审过程：Received 11 September 2018, Revised 24 January 2019, Accepted 25 January 2019, Available online 28 January 2019, Version of Record 30 January 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.01.061