Exploring the effects of different Clustering Methods on a News Recommender System

作者：

Highlights：

• The clustering method choice considerably affects News Recommender Systems results.

• Interaction effect may mislead results when single parameter optimization is used.

• Traditional hierarchical clustering methods may outperform optimization methods.

摘要

•The clustering method choice considerably affects News Recommender Systems results.•Interaction effect may mislead results when single parameter optimization is used.•Traditional hierarchical clustering methods may outperform optimization methods.

论文关键词：Recommender systems,News recommender systems,Clustering,Collaborative filtering,Content filtering,Data mining

论文评审过程：Received 5 July 2020, Revised 21 April 2021, Accepted 2 June 2021, Available online 7 June 2021, Version of Record 21 June 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115341