Parameters optimization of hybrid strategy recommendation based on particle swarm algorithm

作者：

Highlights：

• Analysis the parameters adjustment range of the traditional method.

• A dual parameters method was proposed to expand the range.

• The best parameters selection is obtained by particle swarm optimization.

• Our method has better balance between accuracy and diversity.

摘要

•Analysis the parameters adjustment range of the traditional method.•A dual parameters method was proposed to expand the range.•The best parameters selection is obtained by particle swarm optimization.•Our method has better balance between accuracy and diversity.

论文关键词：Recommendation system,Personalized recommendation,Information overload,Hybrid recommendation algorithm,Particle swarm optimization algorithm

论文评审过程：Received 24 February 2020, Revised 24 May 2020, Accepted 25 November 2020, Available online 2 December 2020, Version of Record 8 December 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114388