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Multi‐dimensional‐personalisation for location and interest‐based recommendation

Steffen W. Schilke (PhD Student, Member and Researcher, Network Research Group, University of Plymouth, Plymouth, UK and the Institute of Applied Informatics Darmstadt (AIDA), University of Applied Sciences Darmstadt, Darmstadt, Germany)
Udo Bleimann (PhD Student, Member and Researcher, Network Research Group, University of Plymouth, Plymouth, UK and the Institute of Applied Informatics Darmstadt (AIDA), University of Applied Sciences Darmstadt, Darmstadt, Germany)
Steven M. Furnell (PhD Student, Member and Researcher, Network Research Group, University of Plymouth, Plymouth, UK and the Institute of Applied Informatics Darmstadt (AIDA), University of Applied Sciences Darmstadt, Darmstadt, Germany)
Andrew D. Phippen (PhD Student, Member and Researcher, Network Research Group, University of Plymouth, Plymouth, UK and the Institute of Applied Informatics Darmstadt (AIDA), University of Applied Sciences Darmstadt, Darmstadt, Germany)

Internet Research

ISSN: 1066-2243

Article publication date: 1 December 2004

Abstract

During the dot com era the word “personalisation” was a hot buzzword. With the fall of the dot com companies the topic has lost momentum. As the killer application for UMTS has yet to be identified, the concept of multi‐dimensional‐personalisation (MDP) could be a candidate. Using this approach, a recommendation of online content, as well as offline events, can be offered to the user based on their known interests and current location. Instead of having to request this information, the new service concept would proactively provide the information and services – with the consequence that the right information or service could therefore be offered at the right place, at the right time. Following an overview of the literature, the paper proposes a new approach for MDP, and shows how it extends the existing implementations.

Keywords

Citation

Schilke, S.W., Bleimann, U., Furnell, S.M. and Phippen, A.D. (2004), "Multi‐dimensional‐personalisation for location and interest‐based recommendation", Internet Research, Vol. 14 No. 5, pp. 379-385. https://doi.org/10.1108/10662240410566980

Publisher

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Emerald Group Publishing Limited

Copyright © 2004, Emerald Group Publishing Limited