Promoting smart tourism personalised services via a combination of deep learning techniques
作者：
Highlights：
• A smart tourism framework using deep learning for personalised recommendations.
• Combine image labelling and collaborative filtering to realise smart tourism.
• Detailed presentation of the utilised Neural Network approaches.
• Exploit Matrix Factorisation Neural Network for more accurate models.
• Experimental results from different approaches/configurations.
摘要
•A smart tourism framework using deep learning for personalised recommendations.•Combine image labelling and collaborative filtering to realise smart tourism.•Detailed presentation of the utilised Neural Network approaches.•Exploit Matrix Factorisation Neural Network for more accurate models.•Experimental results from different approaches/configurations.
论文关键词：Smart tourism,Deep Neural Networks,Image labelling,Matrix Factorisation pre-trained models,Recommender system
论文评审过程：Received 29 July 2021, Revised 21 September 2021, Accepted 21 September 2021, Available online 1 October 2021, Version of Record 6 October 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115964
