PRKG: Pre-Training Representation and Knowledge-Graph-Enhanced Web Service Recommendation for Mashup Creation-Reference-Cited by-同舟云学术

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PRKG: Pre-Training Representation and Knowledge-Graph-Enhanced Web Service Recommendation for Mashup Creation

Published:2024-04 Issue:2 Volume:21 Page:1737-1749
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Cao Buqing¹^ORCID,Peng Mi¹^ORCID,Xie Ziming¹,Liu Jianxun¹^ORCID,Ye Hongfan¹,Li Bing²^ORCID,Fletcher Kenneth K.³^ORCID

Affiliation:

1. School of Computer Science and Engineering and the Hunan Key Laboratory of Service Computing and New Software Service Technology, Hunan University of Science and Technology, Xiangtan, China

2. School of Computer, Wuhan University, Wuhan, China

3. Department of Computer Science, University of Massachusetts Boston, Boston, MA, USA

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Natural Science Foundation of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4275028/10499985/10388005.pdf?arnumber=10388005

Reference47 articles.

1. Modern service industry and service computing;Wu;Commun. CCF,2017

2. Understanding and thinking about the challenges faced by software technology in the era of big data;Mei;Commun. CCF,2013

3. Service Selection for Composition with QoS Correlations

4. Integrated Content and Network-Based Service Clustering and Web APIs Recommendation for Mashup Development

5. Survey on deep learning-based recommender systems;Huang;Chin. J. Comput.,2018

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