Deep learning in citation recommendation models survey
作者：
Highlights：
• We propose a novel taxonomy for deep learning-based citation recommendation models.
• We examine and analyze the most popular evaluation metrics and datasets.
• We present a comparative analysis among the explored models.
• We highlight prominent research issues and recommendations.
• We uncover research trends and present future research directions.
摘要
•We propose a novel taxonomy for deep learning-based citation recommendation models.•We examine and analyze the most popular evaluation metrics and datasets.•We present a comparative analysis among the explored models.•We highlight prominent research issues and recommendations.•We uncover research trends and present future research directions.
论文关键词：Recommender systems,Citation recommendation,Neural networks,Paper recommendation,Machine learning,Deep learning
论文评审过程：Received 28 February 2020, Revised 21 July 2020, Accepted 21 July 2020, Available online 24 July 2020, Version of Record 29 July 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113790
