Research Article
Multi-label Recommendation of Web Services with the Combination of Deep Neural Networks
@INPROCEEDINGS{10.1007/978-3-030-30146-0_10, author={Yanglan Gan and Yang Xiang and Guobing Zou and Huaikou Miao and Bofeng Zhang}, title={Multi-label Recommendation of Web Services with the Combination of Deep Neural Networks}, proceedings={Collaborative Computing: Networking, Applications and Worksharing. 15th EAI International Conference, CollaborateCom 2019, London, UK, August 19-22, 2019, Proceedings}, proceedings_a={COLLABORATECOM}, year={2019}, month={8}, keywords={Web service Multi-label recommendation Label embedding Deep neural networks}, doi={10.1007/978-3-030-30146-0_10} }- Yanglan Gan
Yang Xiang
Guobing Zou
Huaikou Miao
Bofeng Zhang
Year: 2019
Multi-label Recommendation of Web Services with the Combination of Deep Neural Networks
COLLABORATECOM
Springer
DOI: 10.1007/978-3-030-30146-0_10
Abstract
With the increasing number of web services on the Internet, how to effectively classify and recommend service labels has become a research issue. It plays an important role in web service organization and management. However, the deficiency of current approaches is that they either recommend only a single label for a web service or a set of independent labels without order ranking that is still difficult for service providers to publish their web services. In this paper, together with label embedding techniques, we propose a novel approach for service multi-label recommendation using deep neural networks. Unlike traditional approaches, the predicted service labels of our approach not only satisfy the demands of service multi-label recommendation, but also provide the importance with an ordered label ranking. The experiments are conducted to validate the effectiveness on a large-scale dataset from ProgrammableWeb, involving 13,869 real-world Web services. The experimental results demonstrate that our approach for multi-label recommendation of web services outperforms the competing approaches in terms of multiple evaluation metrics.
