Co-attentive representation learning for web services classification

作者：

Highlights：

• Proposing a co-attentive representation learning approach for service classification.

• Proposing a service data augmentation mechanism as the additional service feature.

• Demonstrating the effectiveness of our proposed model on a real-world dataset.

• Opening the dataset and the source code for follow-up studies.

摘要

•Proposing a co-attentive representation learning approach for service classification.•Proposing a service data augmentation mechanism as the additional service feature.•Demonstrating the effectiveness of our proposed model on a real-world dataset.•Opening the dataset and the source code for follow-up studies.

论文关键词：Service computing,Web service classification,Co-attentive representation

论文评审过程：Received 7 December 2020, Revised 5 March 2021, Accepted 16 April 2021, Available online 26 April 2021, Version of Record 13 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115070