Multi-view Graph Attention Network for Travel Recommendation

作者：

Highlights：

• We propose a graph neural network-based model for the travel recommendation.

• User and item representations are learned in multi-view graph embedding networks.

• An attention network is designed to integrating the user and product information.

摘要

•We propose a graph neural network-based model for the travel recommendation.•User and item representations are learned in multi-view graph embedding networks.•An attention network is designed to integrating the user and product information.

论文关键词：Recommender systems,Travel recommendation,Neural network,Graph neural network,Personalized attention

论文评审过程：Received 22 August 2021, Revised 24 October 2021, Accepted 12 November 2021, Available online 25 November 2021, Version of Record 1 December 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116234