Multi-criteria tensor model for tourism recommender systems

作者：

Highlights：

• Recommendation performance is improved by combining multi-rating and cultural factor.

• Experiments show people from diverse cultures differently rates for multi-criteria.

• We found out cultural backgrounds are valid information for tourism recommendation.

摘要

•Recommendation performance is improved by combining multi-rating and cultural factor.•Experiments show people from diverse cultures differently rates for multi-criteria.•We found out cultural backgrounds are valid information for tourism recommendation.

论文关键词：Tourism recommender system,Multi-criteria recommendation,Cultural difference,User preference modeling,Multi-dimensional model,Tensor factorization

论文评审过程：Received 25 April 2020, Revised 23 November 2020, Accepted 25 December 2020, Available online 30 December 2020, Version of Record 13 January 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114537