Hopfgartner, F. orcid.org/0000-0003-0380-6088 and Jose, J.M. (2014) An experimental evaluation of ontology-based user profiles. Multimedia Tools and Applications, 73 (2). pp. 1029-1051. ISSN 0942-4962
Abstract
In recent years, a number of research works have been carried out to improve the information retrieval process by exploiting external knowledge, e.g. by employing ontologies. Even though ontologies seem to be a promising technique to improve the retrieval process, hardly any study has been performed to evaluate the use of ontologies over a longer time period to model user interests. In this work we introduce an ontology based video recommender system that exploits implicit relevance feedback to capture users’ evolving information needs. The system exploits a generic ontology to organise users’ interests. We evaluate the recommendations by performing a user-centred multiple time-series study where participants were asked to include the system into their daily news gathering routine. The results of this study suggest that the system can be successfully employed to improve personal information seeking tasks in news domain.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer Science+Business Media New York 2012. This is an author produced version of a paper subsequently published in Multimedia Tools and Applications. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Video retrieval; Multiple time series study; Personalisation |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 23 Oct 2018 09:25 |
Last Modified: | 23 Oct 2018 09:25 |
Published Version: | https://doi.org/10.1007/s11042-012-1254-2 |
Status: | Published |
Publisher: | Springer Verlag |
Refereed: | Yes |
Identification Number: | 10.1007/s11042-012-1254-2 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:136948 |