A knowledge-driven digital nudging approach to recommender systems built on a modified Onicescu method

作者：

Highlights：

• Experimental knowledge engineering methodologies repurposed for recommendation systems.

• A recommender pipeline integrating domain-specific modeling, knowledge graphs, and a multi-criteria decision method.

• The “digital nudging” concept expanded with semantic technology aspects.

• Multi-criteria decision method modified for recommender systems.

摘要

•Experimental knowledge engineering methodologies repurposed for recommendation systems.•A recommender pipeline integrating domain-specific modeling, knowledge graphs, and a multi-criteria decision method.•The “digital nudging” concept expanded with semantic technology aspects.•Multi-criteria decision method modified for recommender systems.

论文关键词：Digital nudging,Agile Modeling Method Engineering,Knowledge Graph,Multi-criteria decisions,Recommender Systems,Cold start problem

论文评审过程：Received 18 February 2021, Revised 21 April 2021, Accepted 6 May 2021, Available online 12 May 2021, Version of Record 24 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115170