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An integrated personalization framework for SaaS-based cloud services

delete2015-12-01
delete25
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OA
AI
H
Haolong Fan
F
Farookh Khadeer Hussain
M
Muhammad Younas *
O
Omar Khadeer Hussain
DOI:10.1016/j.future.2015.05.011delete
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摘要

摘要

En 中文
Software as a Service (SaaS) has recently emerged as one of the most popular service delivery models in cloud computing. The number of SaaS services and their users is continuously increasing and new SaaS service providers emerge on a regular basis. As users are exposed to a wide range of SaaS services, they may soon become more demanding when receiving/consuming such services. Similar to the web and/or mobile applications, personalization can play a critical role in modern SaaS-based cloud services. This paper introduces a fully designed, cloud-enabled personalization framework to facilitate the collection of preferences and the delivery of corresponding SaaS services. The approach we adapt in the design and development of the proposed framework is to synthesize various models and techniques in a novel way. The objective is to provide an integrated and structured environment wherein SaaS services can be provisioned with enhanced personalization quality and performance. (C) 2015 Elsevier B.V. All rights reserved.
Keyword:
Cloud computing
SaaS
Cloud service
Personalization
Semantic web
Recommendation engine
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期刊

F
Future Generation Computer Systems-The International Journal of eScience
IF:
6.1
论文数:
6.9K
被引数:
2.3W

机构

O
Oxford Brookes University
学者数:
2.8K
论文数: 2.8K
被引数: 3.3K
U
university of technology sydney
学者数:
1.6W
论文数: 2.0W
被引数: 25
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