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dc.contributor.authorLi, Siying
dc.contributor.authorAbel, Marie-Helene
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorNegre, Elsa
dc.date.accessioned2022-02-23T10:59:22Z
dc.date.available2022-02-23T10:59:22Z
dc.date.issued2021
dc.identifier.urihttps://basepub.dauphine.psl.eu/handle/123456789/22733
dc.language.isoenen
dc.subjectOntology-based semantic similarityen
dc.subjectContext-aware recommendationsen
dc.subjectCollaboratoren
dc.subjectCollaboration contexten
dc.subject.ddc004en
dc.titleOntology-based Semantic Similarity in Generating Context-aware Collaborator Recommendationsen
dc.typeCommunication / Conférence
dc.description.abstractenNowadays, the number of collaborative tools has increased significantly. This makes it difficult for users to find the collaborators that are most relevant to their needs among these tools. Besides, their needs can also be influenced by the context of collaboration (e.g., workplace, tools, and resources). This raises an issue: how to help users find their collaborators within the collaboration context. In our research, we propose an ontology-based semantic similarity and employ it in a collaboration context ontology to generate context-aware collaborator recommendations for users. In this paper, we present how to calculate and apply the semantic similarity in context-aware recommendation algorithms.en
dc.identifier.citationpages751-756en
dc.relation.ispartoftitle2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)en
dc.relation.ispartofeditorShen, Weiming
dc.relation.ispartofeditorBarthès, Jean-Paul
dc.relation.ispartofeditorLuo, Junzhou
dc.relation.ispartofeditorShi, Yanjun
dc.relation.ispartofeditorZhang, Jinghui
dc.relation.ispartofpublnameIEEE - Institute of Electrical and Electronics Engineersen
dc.relation.ispartofpublcityPiscataway, NJen
dc.subject.ddclabelInformatique généraleen
dc.relation.ispartofisbn978-1-7281-6597-4en
dc.relation.conftitle2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)en
dc.relation.confdate2021-05
dc.relation.confcityDalianen
dc.relation.confcountryChinaen
dc.relation.forthcomingnonen
dc.identifier.doi10.1109/CSCWD49262.2021.9437647en
dc.description.ssrncandidatenon
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2022-02-23T10:56:26Z
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