A case study of batch and incremental recommender systems in supermarket data under concept drifts and cold start

作者：

Highlights：

• Retail data made available depicts concept drift and cold start problems.

• Neural networks are effective in recommending items to supermarket users.

• Streaming recommenders outperform other methods in drifting and cold start issues.

摘要

•Retail data made available depicts concept drift and cold start problems.•Neural networks are effective in recommending items to supermarket users.•Streaming recommenders outperform other methods in drifting and cold start issues.

论文关键词：Collaborative filtering,Recommender systems,Positive-only feedback,Dataset

论文评审过程：Received 1 May 2020, Revised 2 March 2021, Accepted 6 March 2021, Available online 16 March 2021, Version of Record 31 March 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114890