How to select and weight context dimensions conditions for context-aware recommendation?

作者：

Highlights：

• Exploits pertinent contextual information to improve the recommender system.

• Introduces a recommender prediction model based on context selection and weighting.

• Two rich context-aware datasets are built to upgrade the performance of our model.

• Experimental results show that our proposal outperforms the existing approaches.

摘要

•Exploits pertinent contextual information to improve the recommender system.•Introduces a recommender prediction model based on context selection and weighting.•Two rich context-aware datasets are built to upgrade the performance of our model.•Experimental results show that our proposal outperforms the existing approaches.

论文关键词：Contextual condition selection,Contextual condition weighting,Contextual condition matching,Context-aware recommender system,Collaborative filtering

论文评审过程：Received 8 May 2020, Revised 16 September 2020, Accepted 6 May 2021, Available online 1 June 2021, Version of Record 8 June 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115176