Mobile cloud services recommendation: asoft set‑based approach
Mobile cloud services recommendation: asoft set‑based approach
复制标题
移动云服务推荐：基于软集的方法
DOI：
10.1007/s12652-017-0572-7
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Doo‑SoonPark
中科院分区：
文献类型：
--
作者：
FeiHao;ZhengPei;Doo‑SoonPark
移动互联网和云计算技术推动了移动云服务的快速发展。特别是，随着移动云服务在互联网上的日益普及，移动云服务推荐变得越来越重要。现有的推荐机制主要集中在服务质量(Qos)方面。然而，许多移动云服务的不断涌现导致了用户信息过载的服务器问题。因此，如何向用户推荐合适的移动云服务来解决这一问题就显得尤为重要。为此，本文结合软集的独特性质，创造性地研究了基于软集的移动云服务推荐机制，并设计了相应的推荐算法。
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.