MORec: At the crossroads of context-aware and multi-criteria decision making for online music recommendation

作者：

Highlights：

• Estimate the relevance of contextual information for music recommendation.

• Model users’ context-sensitive preference for music.

• Recommendation quality is improved by treating criteria preferences as contexts.

• Experimental results show the advantages of the proposed method.

• The method outperforms both traditional baselines and context-aware models.

摘要

•Estimate the relevance of contextual information for music recommendation.•Model users’ context-sensitive preference for music.•Recommendation quality is improved by treating criteria preferences as contexts.•Experimental results show the advantages of the proposed method.•The method outperforms both traditional baselines and context-aware models.

论文关键词：Recommender systems,User-based Study,Multi-criteria recommendation,Context aware recommender system (CARS),Clustering,Music online recommendation (MORec)

论文评审过程：Received 14 July 2020, Revised 16 April 2021, Accepted 6 June 2021, Available online 16 June 2021, Version of Record 30 June 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115375