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Towards machine-learning-driven effective mashup recommendations from big data in mobile networks and the Internet-of-Things.

, , , , , and . Digit. Commun. Networks, 9 (1): 138-145 (February 2023)

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Proof as Composition: An approach for the Large-granularity Web Services Composition., , , and . JDCTA, 4 (3): 15-34 (2010)Collaborative Learning-Based Industrial IoT API Recommendation for Software-Defined Devices: The Implicit Knowledge Discovery Perspective., , , , , and . IEEE Trans. Emerg. Top. Comput. Intell., 6 (1): 66-76 (2022)Editorial: ACM/Springer Mobile Networks & Applications - Special Issue on Mobile Computing and Software Engineering., and . Mob. Networks Appl., 25 (2): 672-673 (2020)Editorial: Mobile Recommendations for Location-Based Services and Social Networks., and . Mob. Networks Appl., 25 (6): 2172-2173 (2020)Network Location-Aware Service Recommendation with Random Walk in Cyber-Physical Systems., , , , and . Sensors, 17 (9): 2059 (2017)Guest Editorial: Machine learning applied to quality and security in software systems., , , , and . IET Softw., 17 (4): 345-347 (August 2023)Edge computing: Enabling technologies, applications, and services., , , and . Trans. Emerg. Telecommun. Technol., (2021)Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network., , , , , , and . IEEE Trans. Knowl. Data Eng., 35 (9): 9407-9420 (September 2023)Joint Training Capsule Network for Cold Start Recommendation., , , and . SIGIR, page 1769-1772. ACM, (2020)2012 International Workshop on Data Intensive Services Based Application (DISA2012)., , , and . ICSOC Workshops, volume 7759 of Lecture Notes in Computer Science, page 85-86. Springer, (2013)