Group recommender system based on genre preference focusing on reducing the clustering cost

作者：

Highlights：

• Group recommender system focusing on genre preference value is proposed.

• We cluster the groups based on genre preference vector to lower the clustering cost.

• A new fine-grained item preference value for the aggregation method is proposed.

• Group recommendation focusing on the genre improve both effectiveness and efficiency.

摘要

•Group recommender system focusing on genre preference value is proposed.•We cluster the groups based on genre preference vector to lower the clustering cost.•A new fine-grained item preference value for the aggregation method is proposed.•Group recommendation focusing on the genre improve both effectiveness and efficiency.

论文关键词：Recommender system,Group recommendation,Aggregation method,Clustering,Genre preference

论文评审过程：Received 10 February 2020, Revised 17 April 2021, Accepted 8 June 2021, Available online 12 June 2021, Version of Record 17 June 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115396