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
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