Recommending collaborations with newly emerged services for composition creation in cloud manufacturing

References

• Adamson, G., L. Wang, M. Holm, and P. Moore. 2017. “Cloud Manufacturing–a Critical Review of Recent Development and Future Trends.” International Journal of Computer Integrated Manufacturing 30 (4–5): 347–380.
   Web of Science ®Google Scholar
• Bai, B., Y. Fan, W. Tan, and J. Zhang. 2017. “SR-LDA: Mining Effective Representations for Generating Service Ecosystem Knowledge Maps.” In 2017 IEEE International Conference on Services Computing (SCC), 124–131. Honolulu, HI, USA: IEEE.
   Google Scholar
• Bayati, S., A. F. Nejad, S. Kharazmi, and A. Bahreininejad. 2009. “Using Association Rule Mining to Improve Semantic Web Services Composition Performance.” In 2009 2nd International Conference on Computer, Control and Communication, 1–5. Karachi, Pakistan: IEEE.
   Google Scholar
• Blei, D. M., A. Y. Ng, and M. I. Jordan. 2003. “Latent Dirichlet Allocation.” Journal of Machine Learning Research 3 (Jan): 993–1022.
   Google Scholar
• Chen, F., R. Dou, L. Minqiang, and W. Harris. 2016. “A Flexible QoS-aware Web Service Composition Method by Multi-objective Optimization in Cloud Manufacturing.” Computers & Industrial Engineering 99: 423–431.
   Web of Science ®Google Scholar
• Cheng, G., L. Liu, H. Lei, Z. Lin, L. Manping, and Y. Tao. 2013. “QoS-prediction Cloud Service Recommendation by Collaborative Filtering in Cloud Manufacturing Platform.” Advances in Information Sciences and Service Sciences 5 (3): 295.
   Google Scholar
• Dacrema, M. F., P. Cremonesi, and D. Jannach. 2019. “Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches.” In Proceedings of the 13th ACM Conference on Recommender Systems, 101–109. Copenhagen, Denmark.
   Google Scholar
• Fazeli, M. M., Y. Farjami, and M. Nickray. 2019. “An Ensemble Optimisation Approach to Service Composition in Cloud Manufacturing.” International Journal of Computer Integrated Manufacturing 32 (1): 83–91.
   Web of Science ®Google Scholar
• ssssGao, Z., Y. Fan, W. Cheng, W. Tan, J. Zhang, N. Yayu, B. Bai, and S. Chen. 2018. “Seco-lda: Mining Service Co-occurrence Topics for Composition Recommendation.” IEEE Transactions on Services Computing 12 (3): 446–459.
   Web of Science ®Google Scholar
• Griffiths, T. L., and M. Steyvers. 2004. “Finding Scientific Topics.” Proceedings of the National Academy of Sciences 101 (suppl 1): 5228–5235.
   PubMed Web of Science ®Google Scholar
• Hao, Y., Y. Fan, and J. Zhang. 2019. “Service Recommendation Based on Description Reconstruction in Cloud Manufacturing.” International Journal of Computer Integrated Manufacturing 32 (3): 294–306.
   Web of Science ®Google Scholar
• Huang, K., Y. Fan, and W. Tan. 2014. “Recommendation in an Evolving Service Ecosystem Based on Network Prediction.” IEEE Transactions on Automation Science and Engineering 11 (3): 906–920.
   Web of Science ®Google Scholar
• Jian, L., C. Youling, W. Long, Z. Lidan, and N. Yufei. 2018. “An Approach for Service Composition Optimisation considering Service Correlation via a Parallel Max–min Ant System Based on the Case Library.” International Journal of Computer Integrated Manufacturing 31 (12): 1174–1188.
   Web of Science ®Google Scholar
• Jiao, H., J. Zhang, J. H. Li, and J. Shi. 2017. “Research on Cloud Manufacturing Service Discovery Based on Latent Semantic Preference about OWL-S.” International Journal of Computer Integrated Manufacturing 30 (4–5): 433–441.
   Web of Science ®Google Scholar
• Jin, H., X. Yao, and Y. Chen. 2017. “Correlation-aware QoS Modeling and Manufacturing Cloud Service Composition.” Journal of Intelligent Manufacturing 28 (8): 1947–1960.
   Web of Science ®Google Scholar
• Lei, W., and C. Yang. 2010. “A Solution of Manufacturing Resources Sharing in Cloud Computing Environment.” In Cooperative Design, Visualization, and Engineering, 247–252. Berlin, Heidelberg: Springer.
   Google Scholar
• Li, B.-H., L. Zhang, S.-L. Wang, J. W. Fei Tao, X. D. J. Cao, X. Song, and X. D. Chai. 2010. “Cloud Manufacturing: A New Service-oriented Networked Manufacturing Model.” Computer Integrated Manufacturing Systems 16 (1): 1–7.
   Google Scholar
• Li, C., R. Zhang, J. Huai, X. Guo, and H. Sun. 2013. “A Probabilistic Approach for Web Service Discovery.” In Services Computing (SCC), 2013 IEEE International Conference on, 49–56. Santa Clara, CA, USA: IEEE.
   Google Scholar
• Li, F., L. Zhang, Y. Liu, and Y. Laili. 2018. “QoS-Aware Service Composition in Cloud Manufacturing: A Gale-shapley Algorithm-based Approach.” IEEE Transactions on Systems, Man, and Cybernetics Systems50 (7): 2386-2397.
   Google Scholar
• Li, F., L. Zhang, Y. Liu, Y. Laili, and F. Tao. 2017. “A Clustering Network-based Approach to Service Composition in Cloud Manufacturing.” International Journal of Computer Integrated Manufacturing 30 (12): 1331–1342.
   Web of Science ®Google Scholar
• Li, W., C. Zhu, E. C.-H. Ngai, L. T. Yang, L. Shu, and Y. Sheng. 2015. “Facilities Collaboration in Cloud Manufacturing Based on Generalized Collaboration Network.” In 2015 11th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QSHINE), 298–303. Taipei, China: IEEE.
   Google Scholar
• Liu, B., and Z. Zhang. 2017. “QoS-aware Service Composition for Cloud Manufacturing Based on the Optimal Construction of Synergistic Elementary Service Groups.” The International Journal of Advanced Manufacturing Technology 88 (9–12): 2757–2771.
   Web of Science ®Google Scholar
• Liu, X., S. Agarwal, C. Ding, and Y. Qi 2016. “An LDA-SVM Active Learning Framework for Web Service Classification.” In 2016 IEEE International Conference on Web Services (ICWS), 49–56. San Francisco, CA, USA: IEEE.
   Google Scholar
• Lu, Y., and X. Xun. 2017. “A Semantic Web-based Framework for Service Composition in A Cloud Manufacturing Environment.” Journal of Manufacturing Systems 42: 69–81.
   Web of Science ®Google Scholar
• Pisching, M. A., F. Junqueira, D. J. Santos Filho, and P. E. Miyagi. 2015. “Service Composition in the Cloud-based Manufacturing Focused on the Industry 4.0.” In Doctoral Conference on Computing, Electrical and Industrial Systems, 65–72. Costa de Caparica, Portugal: Springer.
   Google Scholar
• Que, Y., W. Zhong, H. Chen, X. Chen, and J. Xu. 2018. “Improved Adaptive Immune Genetic Algorithm for Optimal QoS-aware Service Composition Selection in Cloud Manufacturing.” The International Journal of Advanced Manufacturing Technology 96 (9–12): 4455–4465.
   Web of Science ®Google Scholar
• Ren, L., L. Zhang, L. Wang, F. Tao, and X. Chai. 2017. “Cloud Manufacturing: Key Characteristics and Applications.” International Journal of Computer Integrated Manufacturing 30 (6): 501–515.
   Web of Science ®Google Scholar
• Shotorbani, P. Y., F. Ameri, B. Kulvatunyou, and N. Ivezic. 2016. “A Hybrid Method for Manufacturing Text Mining Based on Document Clustering and Topic Modeling Techniques.” In IFIP International Conference on Advances in Production Management Systems, 777–786. Iguassu Falls, Brazil: Springer.
   Google Scholar
• Tao, F., H. Yefa, D. Zhao, and Z. Zhou. 2009. “Study on Resource Service Match and Search in Manufacturing Grid System.” The International Journal of Advanced Manufacturing Technology 43 (3–4): 379–399.
   Web of Science ®Google Scholar
• Tao, F., Y. Cheng, L. Zhang, Y. L. Luo, and L. Ren. 2011. “Cloud Manufacturing.” Advanced Materials Research 201-203: 672–676.
   Google Scholar
• Tao, F., Y. LaiLi, X. Lida, and L. Zhang. 2012. “FC-PACO-RM: A Parallel Method for Service Composition Optimal-selection in Cloud Manufacturing System.” IEEE Transactions on Industrial Informatics 9 (4): 2023–2033.
   Web of Science ®Google Scholar
• Xue, X., S. Wang, and L. Baoyun. 2016. “Manufacturing Service Composition Method Based on Networked Collaboration Mode.” Journal of Network and Computer Applications 59: 28–38.
   Web of Science ®Google Scholar
• Yin, C., Q. Xia, and L. Zhen-Wu. 2012. “Semantic Matching Technique of Cloud Manufacturing Service Based on OWL-S.” Computer Integrated Manufacturing Systems 18 (7): 1494–1502.
   Google Scholar
• Yu, C., L. Zhang, W. Zhao, and S. Zhang. 2019. “A Blockchain-based Service Composition Architecture in Cloud Manufacturing.” International Journal of Computer Integrated Manufacturing 33 (7): 701–715.
   Web of Science ®Google Scholar
• Zhang, F., P. Jiang, Q. Zhu, and W. Cao. 2012. “Modeling and Analyzing of an Enterprise Collaboration Network Supported by Service-oriented Manufacturing.” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 226 (9): 1579–1593.
   Web of Science ®Google Scholar
• Zhang, J., Y. Fan, W. Tan, and J. Zhang. 2017a. “Recommendation for Newborn Services by Divide-and-conquer.” In 2017 IEEE International Conference on Web Services (ICWS), 57–64. Honolulu, HI, USA: IEEE.
   Google Scholar
• Zhang, S., W. Yang, X. Song, and W. Zhang. 2017b. “A Hybrid Social Network-based Collaborative Filtering Method for Personalized Manufacturing Service Recommendation.” International Journal of Computers Communications & Control 12 (5): 728–740.
   Web of Science ®Google Scholar
• Zhang, W. Y., S. Zhang, and S. S. Guo. 2017. “A PageRank-based Reputation Model for Personalised Manufacturing Service Recommendation.” Enterprise Information Systems 11 (5): 672–693.
   Web of Science ®Google Scholar
• Zhang, W. Y., S. S. Guo, and S. Zhang. 2017. “Combining Hyperlink-induced Topic Search and Bayesian Approach for Personalised Manufacturing Service Recommendation.” International Journal of Computer Integrated Manufacturing 30 (11): 1152–1163.
   Web of Science ®Google Scholar
• Zhong, Y., Y. Fan, K. Huang, W. Tan, and J. Zhang. 2015. “Time-aware Service Recommendation for Mashup Creation.” IEEE Transactions on Services Computing 8 (3): 356–368.
   Web of Science ®Google Scholar