Personalisation by semantic web technology in food shopping

  • Authors:
  • Lillian Hella;John Krogstie

  • Affiliations:
  • Norwegian University of Science and Technology (NTNU), Sem Sælands vei, Trondheim, Norway;Norwegian University of Science and Technology (NTNU), Sem Sælands vei, Trondheim, Norway

  • Venue:
  • Proceedings of the International Conference on Web Intelligence, Mining and Semantics
  • Year:
  • 2011

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Abstract

Personalisation is a desired functionality for applications within mobile environments as we are moving towards a ubiquitous world. One approach to personalisation of mobile services is by the use of personal and contextual information. In this paper we describe an architecture for this purpose where we utilize ontologies. The developed ontology that covers personal information and food information is based on, and evaluated relative to, personas and scenarios from the food shopping domain. The profile covers three levels of information; personal information, long term interests and temporary interests. The proposed concept of personalisation is illustrated in two developed pull and push scenarios. The personalisation concept in the form of videos is evaluated using the Technology Acceptance Model (TAM), and the initial findings of the analysis are presented here.