Recommender Systems for the Semantic Web
Loizou, Antonis and Dasmahapatra, Srinandan (2006) Recommender Systems for the Semantic Web. In, ECAI 2006 Recommender Systems Workshop, Trento, Italy, 28 Aug - 01 Sep 2006.
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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.
|Item Type:||Conference or Workshop Item (Paper)|
|Additional Information:||Event Dates: Aug 28th - Sep 1st 2006|
|Keywords:||recommender systems, RS, web services, semantic web|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
|Date Deposited:||15 May 2006|
|Last Modified:||27 Mar 2014 20:06|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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- Recommender Systems for the Semantic Web. (deposited 15 May 2006) [Currently Displayed]
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