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Recommend me a Service: Personalized Semantic Web Service Matchmaking

dc.contributor.authorAverbakh, Annade_DE
dc.contributor.authorKrause, Danielde_DE
dc.contributor.authorSkoutas, Dimitriosde_DE
dc.contributor.editorHauger, Davidde_DE
dc.contributor.editorKöck, Mirjamde_DE
dc.contributor.editorNauerz, Andreasde_DE
dc.date.accessioned2017-11-15T14:59:31Z
dc.date.available2017-11-15T14:59:31Z
dc.date.issued2009
dc.description.abstractIn the Semantic Web the discovery of appropriate Semantic Web Services for a given service request, the so-called matchmaking, is a crucial task in order to bring together Web Service provider and users in an automatic manner. While most of the current matchmaking algorithms focus on purely syntactic or semantic similarity or a combination of both (hybrid approaches), the user is not taken into account in the matchmaking process itself. Hence, specific preferences and needs of a user are not taken into account in the matchmaking process. In this paper we show how users can be engaged in the matchmaking process by providing Web 2.0 interaction to collect user feedback. Furthermore, we present the ongoing work of the integration of collaborative filtering algorithms into the matchmaking process to generate personalized matchmaking results.
dc.identifier.urihttp://abis.l3s.uni-hannover.de/images/proceedings/abis2009/abis2009_averbakh.pdfde_DE
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/5025
dc.language.isoende_DE
dc.relation.ispartof17th Workshop on Adaptivity and User Modeling in Interactive Systemsde_DE
dc.titleRecommend me a Service: Personalized Semantic Web Service Matchmakingde_DE
dc.typeText/Conference Paper
gi.document.qualitydigidoc

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