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dc.contributor.authorFrommholz, Ingo
dc.contributor.authorLiu, Haiming
dc.contributor.authorMelucci, Massimo
dc.date.accessioned2021-01-11T12:21:04Z
dc.date.available2021-01-11T12:21:04Z
dc.date.issued2020-07-30
dc.identifier.citationFrommholz I, Liu H, Melucci M (2020) 'BIRDS-bridging the gap between information science, information retrieval and data science', 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval - Online, Association for Computing Machinery, Inc.en_US
dc.identifier.isbn9781450380164
dc.identifier.doi10.1145/3397271.3401463
dc.identifier.urihttp://hdl.handle.net/10547/624747
dc.description.abstractThe BIRDS workshop aimed to foster the cross-fertilization of Information Science (IS), Information Retrieval (IR) and Data Science (DS). Recognising the commonalities and differences between these communities, the proposed full-day workshop brought together experts and researchers in IS, IR and DS to discuss how they can learn from each other to provide more user-driven data and infor-mation exploration and retrieval solutions. Therefore, the papers aimed to convey ideas on how to utilise, for instance, IS concepts and theories in DS and IR or DS approaches to support users in data and information exploration.en_US
dc.language.isoenen_US
dc.publisherAssociation for Computing Machinery, Incen_US
dc.relation.urlhttps://dl.acm.org/doi/10.1145/3397271.3401463en_US
dc.subjectstatistical modelsen_US
dc.subjecttransparencyen_US
dc.subjectinterpretabilityen_US
dc.subjectneural networksen_US
dc.subjectdata scienceen_US
dc.subjectfairnessen_US
dc.subjectinformation scienceen_US
dc.titleBIRDS-bridging the gap between information science, information retrieval and data scienceen_US
dc.typeConference papers, meetings and proceedingsen_US
dc.contributor.departmentUniversity of Bedfordshireen_US
dc.contributor.departmentUniversity of Padovaen_US
dc.date.updated2021-01-11T12:17:02Z
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