Mobile cloud services recommendation: a soft set-based approach

被引:0
|
作者
Fei Hao
Zheng Pei
Doo-Soon Park
Vilakone Phonexay
Hyung-Seok Seo
机构
[1] Ministry of Education,Key Laboratory of Modern Teaching Technology
[2] Shaanxi Normal University,School of Computer Science
[3] Xihua University,Center for Radio Administration and Technology Development
[4] Soonchunhyang University,Department of Computer Software Engineering
[5] Soonchunhyang University,Department of Computer Science and Engineering
[6] Konyang University,Department of Health Science
关键词
Mobile cloud service; Recommendation; Soft set; Weighted reduction soft set;
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学科分类号
摘要
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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页码:1235 / 1243
页数:8
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