Semantic-enhanced neural collaborative filtering models in recommender systems
作者：
Highlights：
• Building the semantic knowledge base for enhancing deep learning models.
• Building the user behavior analytic model with the semantic knowledge base.
• Experiments show the proposed models are significantly better than the original NCF.
摘要
•Building the semantic knowledge base for enhancing deep learning models.•Building the user behavior analytic model with the semantic knowledge base.•Experiments show the proposed models are significantly better than the original NCF.
论文关键词：0000,1111,Recommender Systems,Ontology,Deep learning,Semantic,User behavior prediction,Collaborative Filtering
论文评审过程：Received 7 February 2022, Revised 21 August 2022, Accepted 20 September 2022, Available online 24 September 2022, Version of Record 11 October 2022.
论文官网地址：https://doi.org/10.1016/j.knosys.2022.109934
