An effective web service recommendation method based on personalized collaborative filtering Y Jiang, J Liu, M Tang, X Liu 2011 IEEE international conference on web services, 211-218, 2011 | 266 | 2011 |
Location-aware collaborative filtering for QoS-based service recommendation M Tang, Y Jiang, J Liu, X Liu 2012 IEEE 19th international conference on web services, 202-209, 2012 | 258 | 2012 |
A case study of an inter-enterprise workflow-supported supply chain management system J Liu, S Zhang, J Hu Information & Management 42 (3), 441-454, 2005 | 232 | 2005 |
Location-aware and personalized collaborative filtering for web service recommendation J Liu, M Tang, Z Zheng, X Liu, S Lyu IEEE Transactions on Services Computing 9 (5), 686-699, 2015 | 188 | 2015 |
HireSome-II: Towards privacy-aware cross-cloud service composition for big data applications W Dou, X Zhang, J Liu, J Chen IEEE Transactions on Parallel and Distributed Systems 26 (2), 455-466, 2013 | 182 | 2013 |
Towards a trust evaluation middleware for cloud service selection M Tang, X Dai, J Liu, J Chen Future Generation Computer Systems 74, 302-312, 2017 | 158 | 2017 |
Integrated content and network-based service clustering and web apis recommendation for mashup development B Cao, XF Liu, MDM Rahman, B Li, J Liu, M Tang IEEE Transactions on Services Computing 13 (1), 99-113, 2017 | 136 | 2017 |
AWSR: Active web service recommendation based on usage history G Kang, J Liu, M Tang, X Liu, B Cao, Y Xu 2012 IEEE 19th International Conference on Web Services, 186-193, 2012 | 130 | 2012 |
Multi-class imbalanced graph convolutional network learning M Shi, Y Tang, X Zhu, D Wilson, J Liu Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020 | 119 | 2020 |
Proceedings of the 2010 international conference on New horizons in web-based learning X Luo, Y Cao, B Yang, J Liu, F Ye Springer-Verlag, 2010 | 117 | 2010 |
WE-LDA: a word embeddings augmented LDA model for web services clustering M Shi, J Liu, D Zhou, M Tang, B Cao 2017 ieee international conference on web services (icws), 9-16, 2017 | 111 | 2017 |
Collaborative web service quality prediction via exploiting matrix factorization and network map M Tang, Z Zheng, G Kang, J Liu, Y Yang, T Zhang IEEE Transactions on Network and Service Management 13 (1), 126-137, 2016 | 105 | 2016 |
Mashup service recommendation based on user interest and social network B Cao, J Liu, M Tang, Z Zheng, G Wang 2013 IEEE 20th international conference on web services, 99-106, 2013 | 101 | 2013 |
Web service selection for resolving conflicting service requests G Kang, J Liu, M Tang, X Liu, KK Fletcher 2011 IEEE International Conference on Web Services, 387-394, 2011 | 92 | 2011 |
QoS-aware service recommendation based on relational topic model and factorization machines for IoT Mashup applications B Cao, J Liu, Y Wen, H Li, Q Xiao, J Chen Journal of parallel and distributed computing 132, 177-189, 2019 | 89 | 2019 |
Scheduling workflows with privacy protection constraints for big data applications on cloud Y Wen, J Liu, W Dou, X Xu, B Cao, J Chen Future Generation Computer Systems 108, 1084-1091, 2020 | 85 | 2020 |
Diversifying web service recommendation results via exploring service usage history G Kang, M Tang, J Liu, X Liu, B Cao IEEE Transactions on Services Computing 9 (4), 566-579, 2015 | 85 | 2015 |
ClubCF: A clustering-based collaborative filtering approach for big data application R Hu, W Dou, J Liu IEEE transactions on emerging topics in computing 2 (3), 302-313, 2014 | 84 | 2014 |
Functional and contextual attention-based LSTM for service recommendation in mashup creation M Shi, J Liu IEEE Transactions on Parallel and Distributed Systems 30 (5), 1077-1090, 2018 | 72 | 2018 |
Domain-aware Mashup service clustering based on LDA topic model from multiple data sources B Cao, XF Liu, J Liu, M Tang Information and Software Technology 90, 40-54, 2017 | 67 | 2017 |