Attentional matrix factorization with context and co-invocation for service recommendation

作者：

Highlights：

• Attentional mechanism increases the precision of mashup-API recommendation.

• Document context and co-invocations of Web-APIs influence recommendations.

• Combining attention with context and co-invocation yields better performance.

摘要

•Attentional mechanism increases the precision of mashup-API recommendation.•Document context and co-invocations of Web-APIs influence recommendations.•Combining attention with context and co-invocation yields better performance.

论文关键词：Auxiliary factors,Context,Co-invocation,Attentional network

论文评审过程：Received 3 December 2020, Revised 29 July 2021, Accepted 30 July 2021, Available online 24 August 2021, Version of Record 3 September 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115698