Enabling the interpretability of pretrained venue representations using semantic categories

作者：

Highlights：

• Propose an embedding model to yield representations of venues and categories.

• Propose an explainable model to add the interpretability to venue representations.

• Constructing the interpretable venue representations helps capture better semantics.

摘要

•Propose an embedding model to yield representations of venues and categories.•Propose an explainable model to add the interpretability to venue representations.•Constructing the interpretable venue representations helps capture better semantics.

论文关键词：Venue semantic representation,Interpretable,Embedding learning,Semantic mapping,Check-ins

论文评审过程：Received 23 May 2021, Revised 18 October 2021, Accepted 19 October 2021, Available online 21 October 2021, Version of Record 27 October 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107623