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Personalizing relevance on the Semantic Web through trusted recommendations from a social network

Heath, Thomas and Motta, Enrico (2006). Personalizing relevance on the Semantic Web through trusted recommendations from a social network. In: The 3rd Annual European Semantic Web Conference (ESWC 2006), 11-14 Jun 2006, Budva, Montenegro.

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Abstract

Personalization efforts to date have centred on presenting web users with novel items by predicting what they may find relevant. This approach has utility where the user is unsure of exactly what they are looking for, but not where they have a particular information need to satisfy or a particular item to locate. Furthermore, by operating purely on a predefined database of users and items, systems using this approach represent closed worlds and offer poor scalability to new data sets. To address these limitations we propose a technique for personalizing relevance in information seeking activities, based on an understanding of how people seek information and recommendations from their social network. We then describe technical work in progress, based on Semantic Web technologies, that aims to realize this perspective.

Item Type: Conference Item
Copyright Holders: 2006 Not known
Extra Information: International Workshop on Semantic Web Personalization
Budva, Montenegro, June 12, 2006
Co-located with the 3rd European Semantic Web Conference
Academic Unit/Department: Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 23636
Depositing User: Kay Dave
Date Deposited: 30 Mar 2011 09:09
Last Modified: 30 Mar 2011 09:36
URI: http://oro.open.ac.uk/id/eprint/23636
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