Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6872928 | Future Generation Computer Systems | 2018 | 10 Pages |
Abstract
Software reuse through Application Programming Interfaces (APIs) is a common practice in software development. It remains a big challenge to bridge the semantic gap between user requirements and application functionality with the development of Web-based services. This paper proposes a smart service recommendation approach via Representation Learning. To validate our approach, large-scale experiments are conducted based on a real-world accessible service repository, Programmable-Web. The results show the effectiveness of our proposed approach.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Wei Xiong, Zhihui Lu, Bing Li, Bo Hang, Zhao Wu,