BIRDS-bridging the gap between information science, information retrieval and data science
Issue Date
2020-07-30Subjects
statistical modelstransparency
interpretability
neural networks
data science
fairness
information science
Metadata
Show full item recordAbstract
The 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.Citation
Frommholz 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.Publisher
Association for Computing Machinery, IncAdditional Links
https://dl.acm.org/doi/10.1145/3397271.3401463Type
Conference papers, meetings and proceedingsLanguage
enISBN
9781450380164ae974a485f413a2113503eed53cd6c53
10.1145/3397271.3401463