Centre for Security, Communications and Network Research (CSCAN)  

Centre for Security, Communications and Network Research

University of Plymouth

University of Plymouth

CSCAN Research Student Profile

Name:

Mr Steffen Schilke MBCS

Position:

Research Student

Research title:

Multi-Dimensional-Personalisation for the Online and Offline World

Description:

Multi-Dimensional-Personalisation (MDP) is an approach to support the (mobile) user to cope with the massive information overflow. The online world as well as the offline world provides a vast array of opportunities and information for the user. The main problem nowadays is to get the right information, at the right time, at the right place, and in the right format. There are the main dimensions time, interest and location, as well as secondary issues, such as bandwidth, format / medium, priority and cost. Besides these dimensions and issues, there are security concerns (e.g. the "Big Brother" factor) which have to be considered. From an examination of existing systems and previous literature, it is clear that such a comprehensive approach has not been taken before. There are usually the two main parameters interest and location used in such existing personalisation systems. The interest based personalisation is usually based upon filtering techniques, such as content filtering, collaborative filtering, content mining, monitoring of the surf behaviour, or by the explicit selection of interest topics by the user for the personalisation or recommendation to the user.

In this research, the location based approach will be investigated and extended from only navigating the user to a service or information provider, moving from the pull model towards a push-based approach, based upon the location and interests of the user. As far as the literature research has shown there is no system proposed which really combines these two dimensions in a personalisation engine. Based on this idea, the movement patterns of different users will be analysed with a first prototype to evaluate if this is a feasible approach. In addition to this, classification and recommendation methods, based upon user interest, will be analysed for the use in the MDP project.

Director of Studies:

Prof Steven M Furnell

Other supervisors:

Dr Andy Phippen, Prof Udo Bleimann

Email:

steffen.schilke@plymouth.ac.uk

Publications

Journal papers

Multi-Dimensional-Personalisation for the online & offline world
Schilke SW, Bleimann U, Furnell SM, Phippen AD
Internet Research, vol. 14, no. 5 pp379-385, 2004

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1 Journal papers

Conference papers

Fitting Extended Blended Learning and Multi-Dimensional-Personalization into Learning Management Systems
Schilke SW, Bleimann U, Stengel I, Phippen AD
Proceedings of the Sixth International Network Conference (INC2006), Plymouth, UK, 11-14 July, pp393-400, 2006

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Enhancing Privacy Through Anonymous Recommendation for Multi-Dimensional-Personalisation
Schilke SW, Furnell SM, Bleimann U, Phippen AD
Proceedings of the 5th Security Conference, April 19-20, Las Vegas, USA, ISBN: 0-9772107-2-3, 2006
Full proceedings available here.

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A Chinese Wall Approach for Anonymous Recommendation in a Multi-Dimensional-Personalisation Scenario
Schilke SW, Bleimann U, Furnell SM, Phippen AD
Proceedings of Sciences Electroniques, Technologies de l'Information et des Telecommunications (SETIT) 2005, 27-31 March 2005, p155 (abstract), ISBN: 9973-51-546-3, 2005
Full paper available on the CD

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Multi-Dimensional-Personalisation for the online and offline world
Schilke SW, Bleimann U, Furnell SM, Phippen AD
Proceedings of the Fourth International Network Conference (INC 2004), Plymouth, UK, 6-9 July 2004, pp545-552, 2004

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4 Conference papers

Posters

A new breed of learning Management Systems: working with Extended Blended Learning and Multi-Dimensional Personalisation
Schilke SW, Bleimann U, Phippen AD, Stengel I
Poster presentation at Tag der Forschung, Fachhochschule Darmstadt, Germany, 17. October, 2006

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Extending Meta Data of Learning Management Systems for Extended Blended Learning and Multi-Dimensional Personalisation
Schilke SW, Bleimann U, Phippen AD, Stengel I
Poster presentation at the Sixth International Network Conference (INC2006), Plymouth, UK, 11-14 July, 2006

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Using a "Chinese Wall" for Anonymous Recommendation and the Protection of Privacy
Schilke SW, Bleimann U, Furnell SM, Phippen AD
Poster presentation at Tag der Forschung, Fachhochschule Darmstadt, Germany, 25th October, 2005

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Multi-Dimensional-Personalisation
Schilke SW, Bleimann U, Furnell SM, Phippen AD
Poster presentation at Tag der Forschung, Fachhochschule Darmstadt, Germany, 19th October, 2004

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4 Posters

Internal publications

Multi Dimensional Personalisation Architecture Proposal for a Prototype
Schilke SW, Bleimann U, Furnell SM, Phippen AD
Proceedings of the Fourth Collaborative Research Symposium on Security, E-learning, Internet and Networking (SEIN 2008), Wrexham, UK, ISBN: 978-1-84102-196-6, pp121-133, 2008
Can be ordered on-line.

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Multi-dimensional-personalisation - in “whom” we trust? Perception of trust & privacy
Schilke SW, Bleimann U, Furnell SM, Phippen AD
Proceedings of the Third Collaborative Research Symposium on Security, E-learning, Internet and Networking (SEIN 2007), Plymouth, UK, ISBN: 978-1-8410-2173-7, pp11-22, 2007
Can be ordered on-line.

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2 Internal publications

Other publications

Machbarkeitsuntersuchung: Speicherung digitaler Daten auf Mikrofilm durch Standardtechnologien
Schilke SW
in Proceedings of the Informatik 2008 - GI Jahrestagung (1/2); editors Heinz-Gerd Hegering and Axel Lehmann and Hans Jürgen Ohlbach and Christian Scheideler, Publisher GI, Series LNI, Volume 133, 2008, ISBN 978-3-88579-227-7, pp19-24, 2008

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Personalisierung - das vergessene Thema?
Schilke SW
bdvb aktuell 83, Mitglieder-Magazin des Bundesverbandes Deutscher ISSN 1611-678X, p18, 2003

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2 Other publications

13 Publication(s) - all categories.


Centre for Security, Communications and Network Research (CSCAN), Room A304 Portland Square, University of Plymouth, Plymouth, PL4 8AA, United Kingdom
Telephone: +44 (0) 1752 586234, Fax: +44 (0) 1752 586300, Email: info@cscan.org