Multi-Armed Bandits in Recommendation Systems: A survey of the state-of-the-art and future directions

作者：

Highlights：

• A literature review of studies about MAB in recommender systems from 2000 to 2020.

• A discussion about MAB algorithms, datasets, and evaluation metrics.

• An updated panorama about the current practices and models applied in MAB researches.

• Discussion on the applicability of MAB models in the main recommendation challenges.

• Future directions to be explored by using MAB in the recommendation field.

摘要

•A literature review of studies about MAB in recommender systems from 2000 to 2020.•A discussion about MAB algorithms, datasets, and evaluation metrics.•An updated panorama about the current practices and models applied in MAB researches.•Discussion on the applicability of MAB models in the main recommendation challenges.•Future directions to be explored by using MAB in the recommendation field.

论文关键词：Recommender Systems,Multi-Armed Bandits,Systematic literature review,Recommendation challenges

论文评审过程：Received 25 October 2021, Revised 21 January 2022, Accepted 8 February 2022, Available online 19 February 2022, Version of Record 26 February 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116669