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Privacy-Preserving and Scalable Service Recommendation Based on SimHash in a Distributed Cloud Environment
المؤلفون المشاركون
Qi, Lianyong
Dou, Wanchun
Xu, Yanwei
Yu, Jiguo
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-12-18
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
With the increasing volume of web services in the cloud environment, Collaborative Filtering- (CF-) based service recommendation has become one of the most effective techniques to alleviate the heavy burden on the service selection decisions of a target user.
However, the service recommendation bases, that is, historical service usage data, are often distributed in different cloud platforms.
Two challenges are present in such a cross-cloud service recommendation scenario.
First, a cloud platform is often not willing to share its data to other cloud platforms due to privacy concerns, which decreases the feasibility of cross-cloud service recommendation severely.
Second, the historical service usage data recorded in each cloud platform may update over time, which reduces the recommendation scalability significantly.
In view of these two challenges, a novel privacy-preserving and scalable service recommendation approach based on SimHash, named SerRecSimHash, is proposed in this paper.
Finally, through a set of experiments deployed on a real distributed service quality dataset WS-DREAM, we validate the feasibility of our proposal in terms of recommendation accuracy and efficiency while guaranteeing privacy-preservation.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xu, Yanwei& Qi, Lianyong& Dou, Wanchun& Yu, Jiguo. 2017. Privacy-Preserving and Scalable Service Recommendation Based on SimHash in a Distributed Cloud Environment. Complexity،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1142714
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xu, Yanwei…[et al.]. Privacy-Preserving and Scalable Service Recommendation Based on SimHash in a Distributed Cloud Environment. Complexity No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1142714
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xu, Yanwei& Qi, Lianyong& Dou, Wanchun& Yu, Jiguo. Privacy-Preserving and Scalable Service Recommendation Based on SimHash in a Distributed Cloud Environment. Complexity. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1142714
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1142714
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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