Survey of similarity functions on neighborhood-based collaborative filtering

作者：

Highlights：

• Neighborhood-based Collaborative filtering has received due attention recently.

• A comprehensive review is provided on the algorithms for collaborative filtering.

• Popular metrics were used for evaluation of the similarity functions.

摘要

•Neighborhood-based Collaborative filtering has received due attention recently.•A comprehensive review is provided on the algorithms for collaborative filtering.•Popular metrics were used for evaluation of the similarity functions.

论文关键词：Recommender systems,Collaborative filtering,Neighborhood-based approach,Similarity functions,Similarity measures

论文评审过程：Received 13 June 2020, Revised 21 March 2021, Accepted 24 June 2021, Available online 6 July 2021, Version of Record 23 August 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115482