entity2rec: Property-specific knowledge graph embeddings for item recommendation
作者：
Highlights：
• entity2rec is a recommender system based on knowledge graph embeddings.
• entity2rec generates accurate and non-obvious recommendations
• entity2rec is very effective when the dataset is sparse and has a low popularity bias.
• Learning to rank is no longer needed to generate good recommendations with entity2rec.
• entity2rec can be easily interpreted and configured in an interactive interface.
摘要
•entity2rec is a recommender system based on knowledge graph embeddings.•entity2rec generates accurate and non-obvious recommendations•entity2rec is very effective when the dataset is sparse and has a low popularity bias.•Learning to rank is no longer needed to generate good recommendations with entity2rec.•entity2rec can be easily interpreted and configured in an interactive interface.
论文关键词：Recommender systems,Knowledge graph embeddings,Knowledge graphs
论文评审过程：Received 7 December 2018, Revised 6 January 2020, Accepted 22 January 2020, Available online 30 January 2020, Version of Record 8 March 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113235
