Keywords‐driven web APIs group recommendation for automatic app service creation process

[1]  Jin Sun,et al.  Improving Availability of Multicore Real-Time Systems Suffering Both Permanent and Transient Faults , 2019, IEEE Transactions on Computers.

[2]  Jian Cao,et al.  Service Package Recommendation for Mashup Creation via Mashup Textual Description Mining , 2016, 2016 IEEE International Conference on Web Services (ICWS).

[3]  Jin Sun,et al.  Resource Management for Improving Soft-Error and Lifetime Reliability of Real-Time MPSoCs , 2019, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[4]  Raymond Chi-Wing Wong,et al.  Exact Top-k Nearest Keyword Search in Large Networks , 2015, SIGMOD Conference.

[5]  M. Brian Blake,et al.  Model-Based Automated Navigation and Composition of Complex Service Mashups , 2015, IEEE Transactions on Services Computing.

[6]  David S. Johnson,et al.  The Rectilinear Steiner Tree Problem is NP Complete , 1977, SIAM Journal of Applied Mathematics.

[7]  Junlong Zhou,et al.  Security-Critical Energy-Aware Task Scheduling for Heterogeneous Real-Time MPSoCs in IoT , 2020, IEEE Transactions on Services Computing.

[8]  Fusheng Wang,et al.  Modeling methodology for early warning of chronic heart failure based on real medical big data , 2020, Expert Syst. Appl..

[9]  Wei Gao,et al.  A Novel Framework for Service Set Recommendation in Mashup Creation , 2017, 2017 IEEE International Conference on Web Services (ICWS).

[10]  Jie Wu,et al.  Preserving Privacy with Probabilistic Indistinguishability in Weighted Social Networks , 2017, IEEE Transactions on Parallel and Distributed Systems.

[11]  Feng Tian,et al.  Design and implementation of AD9361-based software radio receiver , 2019, EURASIP J. Wirel. Commun. Netw..

[12]  K. K. Fletcher,et al.  A Reinforcement Learning Approach to Web API Recommendation for Mashup Development , 2019, 2019 IEEE World Congress on Services (SERVICES).

[13]  M. Brian Blake,et al.  Knowledge Discovery in Services (KDS): Aggregating Software Services to Discover Enterprise Mashups , 2011, IEEE Transactions on Knowledge and Data Engineering.

[14]  Cheng Wu,et al.  Category-Aware API Clustering and Distributed Recommendation for Automatic Mashup Creation , 2015, IEEE Transactions on Services Computing.

[15]  Feng Xia,et al.  Community-diversified influence maximization in social networks , 2020, Inf. Syst..

[16]  Jia Zhang,et al.  Web Service Recommendation With Reconstructed Profile From Mashup Descriptions , 2018, IEEE Transactions on Automation Science and Engineering.

[17]  Hongbing Wang,et al.  Effective service composition using multi-agent reinforcement learning , 2016, Knowl. Based Syst..

[18]  Kenneth Fletcher,et al.  A Knowledge Graph Based Framework for Web API Recommendation , 2019, 2019 IEEE World Congress on Services (SERVICES).

[19]  Mohamed Wiem Mkaouer,et al.  Web service API recommendation for automated mashup creation using multi-objective evolutionary search , 2019, Appl. Soft Comput..

[20]  Guojun Wang,et al.  Enabling Verifiable and Dynamic Ranked Search over Outsourced Data , 2019, IEEE Transactions on Services Computing.

[21]  Jie Wu,et al.  Effective Query Grouping Strategy in Clouds , 2017, Journal of Computer Science and Technology.

[22]  Xuyun Zhang,et al.  Data-Driven Web APIs Recommendation for Building Web Applications , 2022, IEEE Transactions on Big Data.

[23]  Xuyun Zhang,et al.  Finding All You Need: Web APIs Recommendation in Web of Things Through Keywords Search , 2019, IEEE Transactions on Computational Social Systems.

[24]  Buqing Cao,et al.  Web API Recommendation for Mashup Development Using Matrix Factorization on Integrated Content and Network-Based Service Clustering , 2017, 2017 IEEE International Conference on Services Computing (SCC).

[25]  Mingdong Tang,et al.  Integrating Tag, Topic, Co-Occurrence, and Popularity to Recommend Web APIs for Mashup Creation , 2017, 2017 IEEE International Conference on Services Computing (SCC).

[26]  Jinjun Chen,et al.  HireSome-II: Towards Privacy-Aware Cross-Cloud Service Composition for Big Data Applications , 2015, IEEE Transactions on Parallel and Distributed Systems.

[27]  Xuyun Zhang,et al.  Multi-dimensional quality-driven service recommendation with privacy-preservation in mobile edge environment , 2020, Comput. Commun..

[28]  Liang Chen,et al.  Manifold-Learning Based API Recommendation for Mashup Creation , 2015, 2015 IEEE International Conference on Web Services.

[29]  K. K. Fletcher,et al.  Regularizing Matrix Factorization with Implicit User Preference Embeddings for Web API Recommendation , 2019, 2019 IEEE International Conference on Services Computing (SCC).