A hybrid multidimensional Recommender System for radio programs

作者：

Highlights：

• Creation of a Recommender System to suggest radio programs to listeners.

• Make use of Pre-processed data, Users’ Preferences, and Historical Data to produce recommendations.

• Hybrid approach using a multidimensional ensemble.

• Ensemble of basic recommenders that detect which recommenders use and dynamically assign weights.

摘要

•Creation of a Recommender System to suggest radio programs to listeners.•Make use of Pre-processed data, Users’ Preferences, and Historical Data to produce recommendations.•Hybrid approach using a multidimensional ensemble.•Ensemble of basic recommenders that detect which recommenders use and dynamically assign weights.

论文关键词：Recommender system,Content-based,Ensemble of recommenders,Hybrid recommender,Radio programs

论文评审过程：Received 21 December 2020, Revised 3 December 2021, Accepted 20 February 2022, Available online 5 March 2022, Version of Record 9 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116706