An integrated personalization framework for SaaS-based cloud services

被引：20

作者：

Fan, Haolong ^{[1
]}

Hussain, Farookh Khadeer ^{[1
]}

Younas, Muhammad ^{[2
]}

Hussain, Omar Khadeer ^{[3
]}

机构：

[1] Univ Technol Sydney, Fac Engn & Informat Technol, Sch Software, Sydney, NSW 2007, Australia

[2] Oxford Brookes Univ, Comp & Commun Technol, Oxford OX3 0BP, England

[3] Univ New S Wales, ADFA, Sch Business, Canberra, ACT 2600, Australia

来源：

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2015年 / 53卷

关键词：

Cloud computing; SaaS; Cloud service; Personalization; Semantic web; Recommendation engine;

D O I：

10.1016/j.future.2015.05.011

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：157 / 173

页数：17

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