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Optimal resource allocation for multimedia application in single and multiple cloud computing service providers., , , , , and . APNOMS, page 1-4. IEEE, (2014)HeteGraph: graph learning in recommender systems via graph convolutional networks., , , , , , , and . Neural Comput. Appl., 35 (18): 13047-13063 (June 2023)Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems., , , , , , , and . CoRR, (2020)Deep News Recommendation with Contextual User Profiling and Multifaceted Article Representation., , , , , , , and . WISE (2), volume 13081 of Lecture Notes in Computer Science, page 237-251. Springer, (2021)Deep Autoencoder for Recommender Systems: Parameter Influence Analysis., , , , , and . ACIS, page 66. (2018)Deep Conversational Recommender Systems: Challenges and Opportunities., , , , , and . Computer, 55 (4): 30-39 (2022)HiLiCLoud: High performance and lightweight mobile cloud infrastructure for monitor and benchmark services., , , , , , and . APNOMS, page 416-419. IEEE, (2015)Toward service selection game in a heterogeneous market cloud computing., , , , , and . IM, page 44-52. IEEE, (2015)HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems., , , , , , and . IJCNN, page 1-8. IEEE, (2020)CupMar: A deep learning model for personalized news recommendation based on contextual user-profile and multi-aspect article representation., , , , and . World Wide Web (WWW), 26 (2): 713-732 (March 2023)