Abstract
Mobile Internet and Cloud Computing technologies facilitate the rapid development of mobile cloud services. Particularly, mobile cloud services recommendation has become increasingly important as services become increasingly prevalent over the Internet. Existing recommendation mechanisms mainly focus on Quality of Services (QoS). However, the continuous emerging of many mobile cloud services leads to a server issue on the information overload for users. Hence, how to recommend the suitable mobile cloud services to users for addressing this issue is important. To this end, this paper incorporates the unique property of soft set and creatively investigated the soft set-based mobile cloud service recommendation mechanism and then devised the corresponding recommendation algorithm.
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Acknowledgements
This research was supported by the National Natural Science Foundation of China (Grant nos. 61702317, 61771297, 61703256) and MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-2014-0-00720) supervised by the IITP (Institute for Information and communications Technology Promotion) and the National Research Foundation of Korea (no. NRF-2017R1A2B1008421) and was also supported by the Fundamental Research Funds for the Central Universities (GK201703059). Z. Pei’s work was partially supported by National Natural Science Foundation of China (Grant no. 61372187).
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Hao, F., Pei, Z., Park, DS. et al. Mobile cloud services recommendation: a soft set-based approach. J Ambient Intell Human Comput 9, 1235–1243 (2018). https://doi.org/10.1007/s12652-017-0572-7
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DOI: https://doi.org/10.1007/s12652-017-0572-7