DocumentCode :
658396
Title :
Towards Cross Site Personalisation
Author :
Koidl, Kevin ; Conlan, Owen ; Wade, Vincent
Author_Institution :
Knowledge & Data Eng. Group (KDEG), Trinity Coll. Dublin, Dublin, Ireland
Volume :
1
fYear :
2013
fDate :
17-20 Nov. 2013
Firstpage :
542
Lastpage :
548
Abstract :
Personalisation on the web is mostly confined to websites of online content providers. The main drawback of this approach is the missing consideration of the users previous cross-site browsing experience resulting in an often fragmented browsing experience. This paper introduces a service driven architecture for user-centric personalisation in online cross-site tasks. The goal of the architecture is twofold: (1) to provide non-intrusive personalised recommendations to the user by not interfering in their browsing freedom and (2) to introduce cross-site personalisation in a non-invasive manner, thus not interfering with the design and functionality of the overall website. We introduce the proposed architecture and its applicability across separately hosted open-source Web-based Content Management Systems (WCMS). We also discuss encouraging results of an initial task-based experiment concentrating on the user´s perception of non-intrusive personalisation within and across different websites.
Keywords :
Web sites; recommender systems; service-oriented architecture; Web personalisation; Web sites; cross-site browsing experience; cross-site personalisation; fragmented browsing experience; initial task-based experiment; nonintrusive personalised recommendations; online content providers; open-source Web-based content management systems; service driven architecture; user-centric personalisation; Adaptation models; Adaptive systems; Computer architecture; Content management; Educational institutions; Recommender systems; Taxonomy; Adaptive Hypermedia; Adaptive Web Interfaces; Content Management Systems; Cross-System Personalization; Personalized Websites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4799-2902-3
Type :
conf
DOI :
10.1109/WI-IAT.2013.76
Filename :
6690063
Link To Document :
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