Web Services Clustering via Exploring Unified Content and Structural Semantic Representation-Reference-Cited by-同舟云学术

Web Services Clustering via Exploring Unified Content and Structural Semantic Representation

Published:2022-12 Issue:4 Volume:19 Page:4082-4096
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Kang Guosheng¹^ORCID,Liu Jianxun¹^ORCID,Xiao Yong¹^ORCID,Cao Yingcheng¹,Cao Buqing¹^ORCID,Shi Min²^ORCID

Affiliation:

1. Hunan Provincial Key Laboratory for Services Computing and Novel Software Technology and the Department of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China

2. Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA

Funder

National Key Research and Development Program of China

Hunan Provincial Natural Science Foundation of China

Educational Commission of Hunan Province of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/4275028/10034788/09854141.pdf?arnumber=9854141

Reference54 articles.

1. Mobile Service Recommendation via Combining Enhanced Hierarchical Dirichlet Process and Factorization Machines

2. Mashup Service Clustering Based on an Integration of Service Content and Network via Exploiting a Two-Level Topic Model

3. Web Service Recommendation via Combining Doc2Vec-Based Functionality Clustering and DeepFM-Based Score Prediction

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

5. Clustering by Passing Messages Between Data Points

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