Privacy-aware cross-cloud service recommendations based on Boolean historical invocation records

Privacy-aware cross-cloud service recommendations based on Boolean historical invocation records

Abstract In the age of big data, service recommendation has provided an effective manner to filter valuable information from massive data. Generally, by observing the past service invocation records (Boolean values) distributed across different cloud platforms, a recommender system can infer persona...

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Bibliographic Details
Main Authors: Qiang Wei, Wenxue Wang, Gongxuan Zhang, Tingting Shao
Format: Article
Language:English
Published: SpringerOpen 2019-04-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Service recommendation
Historical service invocation records
Simhash
Multi-probe
Privacy-preservation
Online Access:http://link.springer.com/article/10.1186/s13638-019-1432-2

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