Recommender Systems for the Semantic Web
Recommender Systems for the Semantic Web
This paper presents a semantic approach to Recommender Systems (RS), to exploit available contextual information about both the items to be recommended and the recommendation process, in an attempt to overcome some of the shortcomings of traditional RS implementations. An ontology is used as a backbone to the system in the proposed architecture to represent the problem domain, while multiple web services are orchestrated to compose a suitable recommendation model, matching the current recommendation context at run-time. In order to allow for such dynamic behaviour, the proposed system tackles the recommendation problem by applying existing RS techniques on three different levels: the selection of appropriate sets of features, recommendation model and recommendable items.
recommender systems, RS, web services, semantic web
Loizou, Antonis
b7a4c484-ff1e-4f51-a999-61b23475583d
Dasmahapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698
2006
Loizou, Antonis
b7a4c484-ff1e-4f51-a999-61b23475583d
Dasmahapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698
Loizou, Antonis and Dasmahapatra, Srinandan
(2006)
Recommender Systems for the Semantic Web.
ECAI 2006 Recommender Systems Workshop, Trento, Italy.
28 Aug - 01 Sep 2006.
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Conference or Workshop Item
(Paper)
Abstract
This paper presents a semantic approach to Recommender Systems (RS), to exploit available contextual information about both the items to be recommended and the recommendation process, in an attempt to overcome some of the shortcomings of traditional RS implementations. An ontology is used as a backbone to the system in the proposed architecture to represent the problem domain, while multiple web services are orchestrated to compose a suitable recommendation model, matching the current recommendation context at run-time. In order to allow for such dynamic behaviour, the proposed system tackles the recommendation problem by applying existing RS techniques on three different levels: the selection of appropriate sets of features, recommendation model and recommendable items.
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semanticRSecai2006_submission.pdf
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semanticRSecai2006_submission.ps
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More information
Published date: 2006
Additional Information:
Event Dates: Aug 28th - Sep 1st 2006
Venue - Dates:
ECAI 2006 Recommender Systems Workshop, Trento, Italy, 2006-08-28 - 2006-09-01
Keywords:
recommender systems, RS, web services, semantic web
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 262584
URI: http://eprints.soton.ac.uk/id/eprint/262584
PURE UUID: d794862c-a41c-4480-9c8c-fdde6071b10d
Catalogue record
Date deposited: 15 May 2006
Last modified: 14 Mar 2024 07:13
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Contributors
Author:
Antonis Loizou
Author:
Srinandan Dasmahapatra
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