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A distributed group recommendation system based on extreme gradient boosting and big data technologies.

, , and . Appl. Intell., 49 (12): 4128-4149 (2019)

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Towards a real-time processing framework based on improved distributed recurrent neural network variants with fastText for social big data analytics., , and . Inf. Process. Manag., (2020)Data Integration and NoSQL Systems: A State of the Art., , and . BDIoT, page 16:1-16:6. ACM, (2019)Energy Efficient In-Network Aggregation Algorithms in Wireless Sensor Networks: A Survey., , and . UNet, volume 397 of Lecture Notes in Electrical Engineering, page 135-148. (2016)A distributed group recommendation system based on extreme gradient boosting and big data technologies., , and . Appl. Intell., 49 (12): 4128-4149 (2019)Metamodels for models complete integration., , and . IRI, page 496-497. IEEE Systems, Man, and Cybernetics Society, (2011)Defining and Analyzing P2P Applications with a Data-Dependency Formalism., , and . PDCAT, page 317-322. IEEE, (2012)A Concise Survey on Content Recommendations., , , and . BDCA, volume 872 of Communications in Computer and Information Science, page 393-405. Springer, (2018)Formal Verification of UML State Machine Diagrams Using Petri Nets., and . NETYS, volume 11704 of Lecture Notes in Computer Science, page 67-74. Springer, (2019)A Distributed Ensemble of Deep Convolutional Neural Networks with Random Forest for Big Data Sentiment Analysis., , and . MSPN, volume 11557 of Lecture Notes in Computer Science, page 153-162. Springer, (2019)ONDAR: An ontology for home automation., and . ISDA, page 260-265. IEEE, (2015)